{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th></th><th scope=col>hair</th><th scope=col>feathers</th><th scope=col>eggs</th><th scope=col>milk</th><th scope=col>airborne</th><th scope=col>aquatic</th><th scope=col>predator</th><th scope=col>toothed</th><th scope=col>backbone</th><th scope=col>breathes</th><th scope=col>venomous</th><th scope=col>fins</th><th scope=col>legs</th><th scope=col>tail</th><th scope=col>domestic</th><th scope=col>catsize</th><th scope=col>type</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>aardvark</th><td>TRUE</td><td>FALSE</td><td>FALSE</td><td>TRUE</td><td>FALSE</td><td>FALSE</td><td>TRUE</td><td>TRUE</td><td>TRUE</td><td>TRUE</td><td>FALSE</td><td>FALSE</td><td>4</td><td>FALSE</td><td>FALSE</td><td>TRUE</td><td>mammal</td></tr>\n",
       "\t<tr><th scope=row>antelope</th><td>TRUE</td><td>FALSE</td><td>FALSE</td><td>TRUE</td><td>FALSE</td><td>FALSE</td><td>FALSE</td><td>TRUE</td><td>TRUE</td><td>TRUE</td><td>FALSE</td><td>FALSE</td><td>4</td><td>TRUE</td><td>FALSE</td><td>TRUE</td><td>mammal</td></tr>\n",
       "\t<tr><th scope=row>bass</th><td>FALSE</td><td>FALSE</td><td>TRUE</td><td>FALSE</td><td>FALSE</td><td>TRUE</td><td>TRUE</td><td>TRUE</td><td>TRUE</td><td>FALSE</td><td>FALSE</td><td>TRUE</td><td>0</td><td>TRUE</td><td>FALSE</td><td>FALSE</td><td>fish</td></tr>\n",
       "\t<tr><th scope=row>bear</th><td>TRUE</td><td>FALSE</td><td>FALSE</td><td>TRUE</td><td>FALSE</td><td>FALSE</td><td>TRUE</td><td>TRUE</td><td>TRUE</td><td>TRUE</td><td>FALSE</td><td>FALSE</td><td>4</td><td>FALSE</td><td>FALSE</td><td>TRUE</td><td>mammal</td></tr>\n",
       "\t<tr><th scope=row>boar</th><td>TRUE</td><td>FALSE</td><td>FALSE</td><td>TRUE</td><td>FALSE</td><td>FALSE</td><td>TRUE</td><td>TRUE</td><td>TRUE</td><td>TRUE</td><td>FALSE</td><td>FALSE</td><td>4</td><td>TRUE</td><td>FALSE</td><td>TRUE</td><td>mammal</td></tr>\n",
       "\t<tr><th scope=row>buffalo</th><td>TRUE</td><td>FALSE</td><td>FALSE</td><td>TRUE</td><td>FALSE</td><td>FALSE</td><td>FALSE</td><td>TRUE</td><td>TRUE</td><td>TRUE</td><td>FALSE</td><td>FALSE</td><td>4</td><td>TRUE</td><td>FALSE</td><td>TRUE</td><td>mammal</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|lllllllllllllllll}\n",
       "  & hair & feathers & eggs & milk & airborne & aquatic & predator & toothed & backbone & breathes & venomous & fins & legs & tail & domestic & catsize & type\\\\\n",
       "\\hline\n",
       "\taardvark & TRUE & FALSE & FALSE & TRUE & FALSE & FALSE & TRUE & TRUE & TRUE & TRUE & FALSE & FALSE & 4 & FALSE & FALSE & TRUE & mammal\\\\\n",
       "\tantelope & TRUE & FALSE & FALSE & TRUE & FALSE & FALSE & FALSE & TRUE & TRUE & TRUE & FALSE & FALSE & 4 & TRUE & FALSE & TRUE & mammal\\\\\n",
       "\tbass & FALSE & FALSE & TRUE & FALSE & FALSE & TRUE & TRUE & TRUE & TRUE & FALSE & FALSE & TRUE & 0 & TRUE & FALSE & FALSE & fish\\\\\n",
       "\tbear & TRUE & FALSE & FALSE & TRUE & FALSE & FALSE & TRUE & TRUE & TRUE & TRUE & FALSE & FALSE & 4 & FALSE & FALSE & TRUE & mammal\\\\\n",
       "\tboar & TRUE & FALSE & FALSE & TRUE & FALSE & FALSE & TRUE & TRUE & TRUE & TRUE & FALSE & FALSE & 4 & TRUE & FALSE & TRUE & mammal\\\\\n",
       "\tbuffalo & TRUE & FALSE & FALSE & TRUE & FALSE & FALSE & FALSE & TRUE & TRUE & TRUE & FALSE & FALSE & 4 & TRUE & FALSE & TRUE & mammal\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/plain": [
       "          hair feathers  eggs  milk airborne aquatic predator toothed backbone\n",
       "aardvark  TRUE    FALSE FALSE  TRUE    FALSE   FALSE     TRUE    TRUE     TRUE\n",
       "antelope  TRUE    FALSE FALSE  TRUE    FALSE   FALSE    FALSE    TRUE     TRUE\n",
       "bass     FALSE    FALSE  TRUE FALSE    FALSE    TRUE     TRUE    TRUE     TRUE\n",
       "bear      TRUE    FALSE FALSE  TRUE    FALSE   FALSE     TRUE    TRUE     TRUE\n",
       "boar      TRUE    FALSE FALSE  TRUE    FALSE   FALSE     TRUE    TRUE     TRUE\n",
       "buffalo   TRUE    FALSE FALSE  TRUE    FALSE   FALSE    FALSE    TRUE     TRUE\n",
       "         breathes venomous  fins legs  tail domestic catsize   type\n",
       "aardvark     TRUE    FALSE FALSE    4 FALSE    FALSE    TRUE mammal\n",
       "antelope     TRUE    FALSE FALSE    4  TRUE    FALSE    TRUE mammal\n",
       "bass        FALSE    FALSE  TRUE    0  TRUE    FALSE   FALSE   fish\n",
       "bear         TRUE    FALSE FALSE    4 FALSE    FALSE    TRUE mammal\n",
       "boar         TRUE    FALSE FALSE    4  TRUE    FALSE    TRUE mammal\n",
       "buffalo      TRUE    FALSE FALSE    4  TRUE    FALSE    TRUE mammal"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Up to this point we have not used R, but now we can no longer avoid that\n",
    "# The arules pachage for R is the best around, by any industry standard# This notebook uses \n",
    "# pure R code--the kernel for R should be installed\n",
    "\n",
    "library('mlbench')\n",
    "\n",
    "data(Zoo) # load up an R DataFrame\n",
    "head(Zoo) # print part of it from R"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false
   },
   "source": [
    "## Using R with apriori\n",
    "Using the r magics in iPython is a much easier and more consistent use of R coding."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Loading required package: Matrix\n",
      "\n",
      "Attaching package: ‘Matrix’\n",
      "\n",
      "The following objects are masked from ‘package:base’:\n",
      "\n",
      "    crossprod, tcrossprod\n",
      "\n",
      "\n",
      "Attaching package: ‘arules’\n",
      "\n",
      "The following objects are masked from ‘package:base’:\n",
      "\n",
      "    %in%, write\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Parameter specification:\n",
      " confidence minval smax arem  aval originalSupport support minlen maxlen\n",
      "        0.8    0.1    1 none FALSE            TRUE     0.5      1     10\n",
      "            target   ext\n",
      " frequent itemsets FALSE\n",
      "\n",
      "Algorithmic control:\n",
      " filter tree heap memopt load sort verbose\n",
      "    0.1 TRUE TRUE  FALSE TRUE    2    TRUE\n",
      "\n",
      "apriori - find association rules with the apriori algorithm\n",
      "version 4.21 (2004.05.09)        (c) 1996-2004   Christian Borgelt\n",
      "set item appearances ...[0 item(s)] done [0.00s].\n",
      "set transactions ...[24 item(s), 101 transaction(s)] done [0.00s].\n",
      "sorting and recoding items ... [7 item(s)] done [0.00s].\n",
      "creating transaction tree ... done [0.00s].\n",
      "checking subsets of size 1 2 3 4 done [0.00s].\n",
      "writing ... [21 set(s)] done [0.00s].\n",
      "creating S4 object  ... done [0.00s].\n",
      "   items         support\n",
      "1  {backbone}  0.8217822\n",
      "2  {breathes}  0.7920792\n",
      "3  {legs=TRUE} 0.7722772\n",
      "4  {tail}      0.7425743\n",
      "5  {backbone,           \n",
      "    tail}      0.7326733\n",
      "6  {breathes,           \n",
      "    legs=TRUE} 0.7227723\n",
      "7  {backbone,           \n",
      "    breathes}  0.6831683\n",
      "8  {backbone,           \n",
      "    legs=TRUE} 0.6336634\n",
      "9  {backbone,           \n",
      "    breathes,           \n",
      "    legs=TRUE} 0.6336634\n",
      "10 {toothed}   0.6039604\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "21"
      ],
      "text/latex": [
       "21"
      ],
      "text/markdown": [
       "21"
      ],
      "text/plain": [
       "[1] 21"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# load up some zoo data\n",
    "data(Zoo)\n",
    "library(arules)\n",
    "\n",
    "# make the \"legs\" attirbute binary\n",
    "has_legs <- Zoo[\"legs\"]>0\n",
    "Zoo[[\"legs\"]] <- as.factor(has_legs)\n",
    "\n",
    "# convert to transactions, where column indicates the output of the attribute\n",
    "# so \"hair\" as an attribute would generate two columns -> \"hair=TRUE and hair=FALSE\"\n",
    "trans <- as(Zoo, \"transactions\")\n",
    "\n",
    "# Now that we have transactions, its time to run the apriori algorithm\n",
    "isets <- apriori(trans, parameter=list(target=\"frequent\", support=0.5))\n",
    "\n",
    "# sort it and display some of the frequent itemsets from apriori\n",
    "isets <- sort(isets, by=\"support\") \n",
    "inspect(head(isets, n=10))\n",
    "length(isets)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  items         support\n",
      "1 {eggs}      0.5841584\n",
      "2 {predator}  0.5544554\n",
      "3 {backbone,           \n",
      "   breathes,           \n",
      "   legs=TRUE,          \n",
      "   tail}      0.5544554\n",
      "4 {toothed,            \n",
      "   backbone,           \n",
      "   tail}      0.5148515\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "4"
      ],
      "text/latex": [
       "4"
      ],
      "text/markdown": [
       "4"
      ],
      "text/plain": [
       "[1] 4"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Do same thing, getting only the maximal sets\n",
    "is_max <- isets[is.maximal(isets)]\n",
    "inspect(head(sort(is_max, by=\"support\")))\n",
    "length(is_max)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Parameter specification:\n",
      " confidence minval smax arem  aval originalSupport support minlen maxlen target\n",
      "        0.9    0.1    1 none FALSE            TRUE     0.5      1     10  rules\n",
      "   ext\n",
      " FALSE\n",
      "\n",
      "Algorithmic control:\n",
      " filter tree heap memopt load sort verbose\n",
      "    0.1 TRUE TRUE  FALSE TRUE    2    TRUE\n",
      "\n",
      "apriori - find association rules with the apriori algorithm\n",
      "version 4.21 (2004.05.09)        (c) 1996-2004   Christian Borgelt\n",
      "set item appearances ...[0 item(s)] done [0.00s].\n",
      "set transactions ...[24 item(s), 101 transaction(s)] done [0.00s].\n",
      "sorting and recoding items ... [7 item(s)] done [0.00s].\n",
      "creating transaction tree ... done [0.00s].\n",
      "checking subsets of size 1 2 3 4 done [0.00s].\n",
      "writing ... [14 rule(s)] done [0.00s].\n",
      "creating S4 object  ... done [0.00s].\n",
      "   lhs            rhs           support confidence     lift\n",
      "1  {toothed}   => {backbone}  0.6039604  1.0000000 1.216867\n",
      "2  {legs=TRUE} => {breathes}  0.7227723  0.9358974 1.181571\n",
      "3  {breathes}  => {legs=TRUE} 0.7227723  0.9125000 1.181571\n",
      "4  {tail}      => {backbone}  0.7326733  0.9866667 1.200643\n",
      "5  {toothed,                                               \n",
      "    tail}      => {backbone}  0.5148515  1.0000000 1.216867\n",
      "6  {legs=TRUE,                                             \n",
      "    tail}      => {breathes}  0.5643564  1.0000000 1.262500\n",
      "7  {breathes,                                              \n",
      "    tail}      => {legs=TRUE} 0.5643564  0.9344262 1.209962\n",
      "8  {legs=TRUE,                                             \n",
      "    tail}      => {backbone}  0.5544554  0.9824561 1.195519\n",
      "9  {backbone,                                              \n",
      "    legs=TRUE} => {breathes}  0.6336634  1.0000000 1.262500\n",
      "10 {backbone,                                              \n",
      "    breathes}  => {legs=TRUE} 0.6336634  0.9275362 1.201041\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th></th><th scope=col>support</th><th scope=col>confidence</th><th scope=col>lift</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>1</th><td>0.6039604</td><td>1</td><td>1.216867</td></tr>\n",
       "\t<tr><th scope=row>2</th><td>0.7227723</td><td>0.9358974</td><td>1.181571</td></tr>\n",
       "\t<tr><th scope=row>3</th><td>0.7227723</td><td>0.9125</td><td>1.181571</td></tr>\n",
       "\t<tr><th scope=row>4</th><td>0.7326733</td><td>0.9866667</td><td>1.200643</td></tr>\n",
       "\t<tr><th scope=row>5</th><td>0.5148515</td><td>1</td><td>1.216867</td></tr>\n",
       "\t<tr><th scope=row>6</th><td>0.5643564</td><td>1</td><td>1.2625</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|lll}\n",
       "  & support & confidence & lift\\\\\n",
       "\\hline\n",
       "\t1 & 0.6039604 & 1 & 1.216867\\\\\n",
       "\t2 & 0.7227723 & 0.9358974 & 1.181571\\\\\n",
       "\t3 & 0.7227723 & 0.9125 & 1.181571\\\\\n",
       "\t4 & 0.7326733 & 0.9866667 & 1.200643\\\\\n",
       "\t5 & 0.5148515 & 1 & 1.216867\\\\\n",
       "\t6 & 0.5643564 & 1 & 1.2625\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/plain": [
       "    support confidence     lift\n",
       "1 0.6039604  1.0000000 1.216867\n",
       "2 0.7227723  0.9358974 1.181571\n",
       "3 0.7227723  0.9125000 1.181571\n",
       "4 0.7326733  0.9866667 1.200643\n",
       "5 0.5148515  1.0000000 1.216867\n",
       "6 0.5643564  1.0000000 1.262500"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# generate some rules from the frequent itemsets\n",
    "rules <- apriori(trans, parameter=list(support=.5, confidence=.9))\n",
    "\n",
    "inspect(head(rules, n=10))\n",
    "\n",
    "# print out measures of rule quality\n",
    "quality(head(rules))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   lhs            rhs           support confidence     lift\n",
      "1  {legs=TRUE,                                             \n",
      "    tail}      => {breathes}  0.5643564  1.0000000 1.262500\n",
      "2  {backbone,                                              \n",
      "    legs=TRUE} => {breathes}  0.6336634  1.0000000 1.262500\n",
      "3  {backbone,                                              \n",
      "    legs=TRUE,                                             \n",
      "    tail}      => {breathes}  0.5544554  1.0000000 1.262500\n",
      "4  {toothed}   => {backbone}  0.6039604  1.0000000 1.216867\n",
      "5  {toothed,                                               \n",
      "    tail}      => {backbone}  0.5148515  1.0000000 1.216867\n",
      "6  {breathes,                                              \n",
      "    tail}      => {legs=TRUE} 0.5643564  0.9344262 1.209962\n",
      "7  {backbone,                                              \n",
      "    breathes,                                              \n",
      "    tail}      => {legs=TRUE} 0.5544554  0.9333333 1.208547\n",
      "8  {backbone,                                              \n",
      "    breathes}  => {legs=TRUE} 0.6336634  0.9275362 1.201041\n",
      "9  {tail}      => {backbone}  0.7326733  0.9866667 1.200643\n",
      "10 {breathes,                                              \n",
      "    tail}      => {backbone}  0.5940594  0.9836066 1.196919\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th></th><th scope=col>phi</th><th scope=col>gini</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>1</th><td>0.5831439</td><td>0.1120077</td></tr>\n",
       "\t<tr><th scope=row>2</th><td>0.6738353</td><td>0.1495561</td></tr>\n",
       "\t<tr><th scope=row>3</th><td>0.5715476</td><td>0.1075973</td></tr>\n",
       "\t<tr><th scope=row>4</th><td>0.5750851</td><td>0.09687286</td></tr>\n",
       "\t<tr><th scope=row>5</th><td>0.4797344</td><td>0.06741236</td></tr>\n",
       "\t<tr><th scope=row>6</th><td>0.4774846</td><td>0.08019151</td></tr>\n",
       "\t<tr><th scope=row>7</th><td>0.4645913</td><td>0.07591923</td></tr>\n",
       "\t<tr><th scope=row>8</th><td>0.5436464</td><td>0.1039544</td></tr>\n",
       "\t<tr><th scope=row>9</th><td>0.731762</td><td>0.1568475</td></tr>\n",
       "\t<tr><th scope=row>10</th><td>0.5221857</td><td>0.07987075</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|ll}\n",
       "  & phi & gini\\\\\n",
       "\\hline\n",
       "\t1 & 0.5831439 & 0.1120077\\\\\n",
       "\t2 & 0.6738353 & 0.1495561\\\\\n",
       "\t3 & 0.5715476 & 0.1075973\\\\\n",
       "\t4 & 0.5750851 & 0.09687286\\\\\n",
       "\t5 & 0.4797344 & 0.06741236\\\\\n",
       "\t6 & 0.4774846 & 0.08019151\\\\\n",
       "\t7 & 0.4645913 & 0.07591923\\\\\n",
       "\t8 & 0.5436464 & 0.1039544\\\\\n",
       "\t9 & 0.731762 & 0.1568475\\\\\n",
       "\t10 & 0.5221857 & 0.07987075\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/plain": [
       "         phi       gini\n",
       "1  0.5831439 0.11200774\n",
       "2  0.6738353 0.14955608\n",
       "3  0.5715476 0.10759729\n",
       "4  0.5750851 0.09687286\n",
       "5  0.4797344 0.06741236\n",
       "6  0.4774846 0.08019151\n",
       "7  0.4645913 0.07591923\n",
       "8  0.5436464 0.10395436\n",
       "9  0.7317620 0.15684747\n",
       "10 0.5221857 0.07987075"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# sort out the rules and print additional \"interest\" measures\n",
    "rules <- sort(rules, by=\"lift\")\n",
    "inspect(head(rules, n=10))\n",
    "interestMeasure(rules[1:10], method=c(\"phi\", \"gini\"), trans=trans)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Loading required package: grid\n",
      "\n",
      "Attaching package: ‘arulesViz’\n",
      "\n",
      "The following object is masked from ‘package:base’:\n",
      "\n",
      "    abbreviate\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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       "</svg>\n"
      ],
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/svg+xml": {
       "isolated": true
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# visualize the different rules, \n",
    "#  the first visualization might take some time to render properly\n",
    "library(arulesViz)\n",
    "plot(rules)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   lhs            rhs           support confidence     lift\n",
      "1  {legs=TRUE,                                             \n",
      "    tail}      => {breathes}  0.5643564  1.0000000 1.262500\n",
      "2  {backbone,                                              \n",
      "    legs=TRUE} => {breathes}  0.6336634  1.0000000 1.262500\n",
      "3  {backbone,                                              \n",
      "    legs=TRUE,                                             \n",
      "    tail}      => {breathes}  0.5544554  1.0000000 1.262500\n",
      "4  {toothed}   => {backbone}  0.6039604  1.0000000 1.216867\n",
      "5  {toothed,                                               \n",
      "    tail}      => {backbone}  0.5148515  1.0000000 1.216867\n",
      "6  {breathes,                                              \n",
      "    tail}      => {legs=TRUE} 0.5643564  0.9344262 1.209962\n",
      "7  {backbone,                                              \n",
      "    breathes,                                              \n",
      "    tail}      => {legs=TRUE} 0.5544554  0.9333333 1.208547\n",
      "8  {backbone,                                              \n",
      "    breathes}  => {legs=TRUE} 0.6336634  0.9275362 1.201041\n",
      "9  {tail}      => {backbone}  0.7326733  0.9866667 1.200643\n",
      "10 {breathes,                                              \n",
      "    tail}      => {backbone}  0.5940594  0.9836066 1.196919\n",
      "11 {legs=TRUE,                                             \n",
      "    tail}      => {backbone}  0.5544554  0.9824561 1.195519\n",
      "12 {breathes,                                              \n",
      "    legs=TRUE,                                             \n",
      "    tail}      => {backbone}  0.5544554  0.9824561 1.195519\n",
      "13 {legs=TRUE} => {breathes}  0.7227723  0.9358974 1.181571\n",
      "14 {breathes}  => {legs=TRUE} 0.7227723  0.9125000 1.181571\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "14"
      ],
      "text/latex": [
       "14"
      ],
      "text/markdown": [
       "14"
      ],
      "text/plain": [
       "[1] 14"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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RI0cG1MGDrN2GLbNaVQs4xy0r6qD/pUuXDqlkZURBsvmqkOuWWpULkA99shUzKH3KBC7g+JgxYwJkvfXWWwOOq5Dulgp9HXAeuKjoaFo5tvsc/BlOQbJltes/8sgj+vrhHprx8KxWxxyZcL5aHbRUWHRLra44+6HUKXPPgL4Ef4lVQcronMT13ApSuL4Gy+X+riIAWh07drTwW0Rxz51IChIUYcwrcK1SpYqlAjw4bLAvowpScB/s3240uSK9oAg31uhvRn5fatXN6St+A+h/gwYNAn6X+I0G/5ZxPRYSIAESsAl4w9Ba3bFZSIAEvEUg2JSnZMmSaQSEjxJyx4T6g1lMqIJQwwULFhSlNGlnfrXi4Zji3XvvvbJ8+XJ9Gkzd4DAP0639+/eLeiMutk/LokWLZMSIEaGaz9S+gwcPSpcuXXT4ZFz3vffec0KWI4rYU0895bSP43379nW+w3cFzvQwD3v77bed/WqVRPbs2aO/w+xJrfY4xxCyGb42MBFENDVEAHQXdaN2f41pG3zvuOMO3R7kUW/gnfPg0wJTMZgbQk6YT9kmcqg0Z84cp+6OHTucoADgbpsrYVwRFtsu4PLtt98KzL/WrVsX0Ic6derofV988YVdPeATst51113a3A/mmW3atAk4HvxFPZBrczylHOhDOB9mdDCZtOereogX9cAuMLWMVGAGCRNA+PjYBWaU2Ic/METJqjmZ3r7i2jBPhFkh8jHFWmC+2KpVK4FpJPKSjRs3TgdTifX8SPXQh3C/3UjnZeRYRn5fuI57bsJMFma8MP/DPQR5ozAvYM6rFLOMiMVzSIAEUoWArSnxkwRIgATcBJQPiPMmVt0PtWmW+zi2lTN9QB3Us/+UD4dT3b2ChOP4HlyUkuCcizrqwTC4igUTNLv9Cy+80DmemTfY7hUkrDy4V6ZwAfcbaayW2EVF6XNkwSqXUoLsQ/pT+f04x2FqhxK8amGbp+mD6h/lFxOwkqR8ouxDET/dJnZYIVKKnlMfZnI2M3wGm9Lhu31c+Xg552EDLLBCE2xeiNUZlWjUOU89gDrntW7d2tnfrFkzZ7+94V5VUcqZXn2yj9mfkVYVUAfmb7bMwZ+h5pbdbqhP9zi65xTqZmZO4vxY+op6sZZo8xztKP87h83zzz+vm4bZmZtTRleQ0EYovtHkysgKkntcYv19obNY5bT7WqtWLQv3MRV6XnNQSWm1Caf+wn9IgARIIAIBriCpOykLCZBAWgKIWOcu7lDe7v0Z2YZzf3BBUAG7YKUADvzBRT3MO7uwKqMe/p3vkTbUPTDSYecYAhnYq1T2ziZNmtibgtUSezXIvUKGN9LffPONXoHBKgz+lNmccx6CRKC4I6YpvyVBtDZ3KVKkiA5w4d6X3m2s9CmTNue0c88919nGBgI4uIu7rjsgB+qABdpD4AcEdHj11Vf1igqSAtuBFlAv+Dzsi6WANziktyCYBhLqBhe0h8ANWVWyck5mtK/p6QtC7GPFEgXBRXr37p2e02OqG+q3G+3EWH9/7nYy8vvC+Vi1tAvG78477xRlUifKt1CUmbCsX7/ePsxPEiABEghLIG3IorBVeYAESCCVCKg3sQHddT/c2wfwgA+TG7vggQSJQiMVtfIQcI5d1zaRwnc8gMM8KLgE58ZRb8LTRNWDCVlwcee5ifSwhuSgwQWmY+4CszW10qDNsOz9YBMc+tw+hk+Ys6Fs27ZNf+IfKKDByhj2h5IB+2MtwQoRor25iwrQ4P4akrNdQb1xFxXsQKZNmybYDlfUG/5whyLuz0w0MRXYQ5SzfUAOIxXEIeL10nswq+YkrpuZvsYiN+Y4XirY8xtRCTFuKDC3cxdET0TERbXCkq75Fu636247M78/dzswc7RLrL8v1B86dKg268QLC7tAJpja4e+ZZ57Rv1Xl35Suvttt8ZMESCA1CFBBSo1xZi9JIN0EoCCVL19eoISgwK8DCWPdD9xu/w3UUdHntD8StsMVPGSFKu4Hd/jKhCrwS3AXt3Jm73crQ/Y+9wpHKKXErgc/oOASrBggxDWKW4FDCGH4tIQrtrJpn4t6hw8fDlkdq1SZKe7xCdWOW+5Qx+19kA+hyu0HTfiEIYEq9uHB+uabb3ZW8DKqIIWbC7YMkT6hIAWPNfyYEE4+o/IEXy+r5iTazUxfg+UK9R05yOA3ZpcBAwbYm2k+ET4cBYpSehTyWPoQPCa4Tqy/P9S1i3uexvr7wrnwT4NP5Icffigq6IgoM9Y0yj18ku677z7BCx0WEiABEghFgApSKCrcRwIkoAnAQd0OTIC3uMr/QK8ohMMT6uEouG4453mYqdkFq1AIXhAcGAJvgO2CByjbjM39MIVACCraWUBOH+S8iaUgaEFwcb/JxoO3vYplf6K+8vvRQQyiPZi7+4M+Qi63KSPedG/cuDFYhKR8x0OkrRwh8AHyFbkDOriVVZhEhiqhVhPc9cLNBXedUNsI5IFExMEFD7wqHLbOHxR8LCPfMzMng6+X0b4Gt5PM7+H6kFW/P3ffMvL7ss/HfIRprPKB0/cCKEwqhL+MHz/eWcWF4oSgLDC/YyEBEiCBYAIZs4sIboXfSYAEfEkAEd1g7maXnj17CqLOQQlxFzyAYEUBZjt2sU197O/2J5SJUAUmQSoIgnMIqwFuhQv+Rs8995xzvG7dus5qlq0o4SCui6hqdsGbdax+2SWcXDiOt87uc/GAD5MduyBxqP2QiOS4dkFyUjxw2QUmTfD1ge/Ogw8+6ESHQ3JVe4UHcsAnwl0mTZqkE1u69yVrG8ln7YIkvW7lCP5I7jkAhdQu7vF117GPuz/ddd37I21jRQ8JUG2zMRXGWVQ4cucUFRAjYAydAxnYyMycDL5cRvoa3Eak71BS4HMU6g+/W3dBtEDUcysh7uPhtsP1Iat+f+7rZuT3hRcciD5YtmxZvWK3evVq/fICv0WYXyIxsLtEm5/uutwmARJIMQLqP2kWEiABEghLYO7cuU5OFXV71BGilJJgIUob8hGFSjqKeohmZhdEvrLPVW/l7d1pPlVYY6ce6l999dWWMhWykPRSKWrOMUSTU75AzvnKhCdARqXIWOptsaXChKeJtKceJJ3zsOGOYodrIr+MWjWzVBhxSyl9zjVxzJ1gUilPllJ4nOOIyDZhwgQd7Q/5i+z+4tMdrS44iatapbNGjx5tqYdYJ0eRfW5GotipB8uA/uGL3R4+3RHncAwR9uzjSqHDLl3UCo2zH8dVgAZLrSJaKoS5pfxpAo4pxc4+zerRo4dzTJlkWYiw587n5I7spkJQO+e5NyJFsXvooYec9jGWKrS49csvv+hxs/uhTENDRsdzX8PedkdLC45ihzoZnZM4N5a+ol6sJVq0uHDtKEXAYQZGGY1iF+63m5nfX7ixzsjvS5mnBuQ7UmH0LeT2Qn/fffddS71UcTgopS4cLu4nARIgAQtvW1lIgARIICIB5dcR8LBnP4iG+sRDscoPFBBON1YFCUIMGzYsIBFp8DWgHE2dOjWNvB06dHAefoLPQQJSe18kBcmt8Nj17U8VhSzNNdWKWUBYYbuu+1MFOQg4T/k5WerNvSOPuy6Us+bNmzvHkqkgqaiFlgr44MjillOZElpINGvvgxJkF5WHxtlvH8enMsnTVWJRGsI9NM+cOTOg7Weffda+rDV8+PCAY1BEYynRFCS0kdE5GUtfY5HRruNVBQnyZfT3F26s0WZGfl94oYMXOO65F7yNe4Ay08QlWEiABEggJAGa2Kk7JwsJkEBkAjCfQ3hcOH6rFZc0lRH4QK0oiXpg1Tb+MIULZ46T5uSgHUqZEaUAicqjJO6IbDBtg8kTkpHec889QWeJDm+MpKEIJmAX+Pwg2aztR4X9kYI0qIc8HRnN7ZcAsz+YbamHc7tZ57Ny5coCMx74O7hlRQVELYPPFkJjuwvaxjkIP2wzgkwI8oCEqgiAYJdIstp14vUJkzr4IcGs0F2Q3BZyus0d7WhpqIdofsEJXxFM47fffnM3k+7tffv2iTvM+1VXXaXNPe2GMPYIIGEXpdRkWTLQjM5JW5ZU+ER48cz+/oI5ZeT3BXNLzE8kXQ7lE4j5uXLlSm3+Gnw9ficBEiABm0A2qE32F36SAAmQQCwE4A+EiFl46FVvybV/ijtCWyxtxFIHPkBQzKBIlClTxlEoIp0Lfxj4IiD4gdt/Ktw58MNA6G6U119/XVSiTaysi0oSqqNvVaxYUcIFIQhuE+0gNDRCg0PBiHYecgmhf5ABHL1YMAbIgYVQ5fDtCBU5MJTccIBHwAkoisGh0kPVN2VfRuakKX3LCjnT+/tLzzXT+/uCv5oyv5T9+/fr+wHmIgKOsJAACZBANAJUkKIR4nESIAFfEwilIPm6w+wcCZAACZAACZBARAI0sYuIhwdJgARIgARIgARIgARIgARSiQAVpFQabfaVBEiABEiABEiABEiABEggIoHQCUkinsKDJEACJOAfAsi3Yidw9ZOvjH9GiD0hARIgARIggcQSoA9SYnnzaiRAAiRAAiRAAiRAAiRAAh4mQBM7Dw8ORSMBEiABEiABEiABEiABEkgsASpIieXNq5EACZAACZAACZAACZAACXiYABUkDw8ORSMBEiABEiABEiABEiABEkgsASpIieXNq5EACZAACZAACZAACZAACXiYABUkDw8ORSMBEiABEiABEiABEiABEkgsASpIieXNq5EACZAACZAACZAACZAACXiYABUkDw8ORSMBEiABEiABEiABEiABEkgsASpIieXNq5EACZAACZAACZAACZAACXiYABUkDw8ORSMBEiABEiABEiABEiABEkgsASpIieXNq5EACZAACZAACZAACZAACXiYABUkDw8ORSMBEiABEiABEiABEiABEkgsASpIieXNq5EACZAACZAACZAACZAACXiYABUkDw8ORSMBEiABEiABEiABEiABEkgsASpIieXNq5EACZAACZAACZAACZAACXiYABUkDw8ORSMBEiABEiABEiABEiABEkgsASpIieXNq5EACZAACZAACZAACZAACXiYABUkDw8ORSMBEiABEiABEiABEiABEkgsASpIieXNq5EACZAACZAACZAACZAACXiYABUkDw8ORSMBEiABEiABEiABEiABEkgsASpIieXNq5EACZAACZAACZAACZAACXiYABUkDw8ORSMBEiABEiABEiABEiABEkgsASpIieXNq5EACZAACZAACZAACZAACXiYABUkDw8ORSMBEiABEiABEiABEiABEkgsASpIieXNq5EACZAACZAACZAACZAACXiYABUkDw8ORSMBEiABEiABEiABEiABEkgsASpIieXNq5EACZAACZAACZAACZAACXiYABUkDw8ORSMBEiABEiABEiABEiABEkgsASpIieXNq5EACZAACZAACZAACZAACXiYABUkDw8ORSMBEiABEiABEiABEiABEkgsASpIieXNq5EACZAACZAACZAACZAACXiYABUkDw8ORSMBEiABEiABEiABEiABEkgsASpIieXNq5EACZAACZAACZAACZAACXiYABUkDw8ORSMBEiABEiABEiABEiABEkgsASpIieXNq5EACZAACZAACZAACZAACXiYABUkDw8ORSMBEiABEiABEiABEiABEkgsASpIieXNq5EACZAACZAACZAACZAACXiYABUkDw8ORSMBEiABEiABEiABEiABEkgsASpIieXNq5EACZAACZAACZAACZAACXiYABUkDw8ORSMBEiABEiABEiABEiABEkgsASpIieXNq5EACZAACZAACZAACZAACXiYABUkDw8ORSMBEiABEiABEiABEiABEkgsASpIieXNq5EACZAACZAACZAACZAACXiYABUkDw8ORSMBEiABEiABEiABEiABEkgsASpIieXNq5EACZAACZAACZAACZAACXiYABUkDw8ORSMBEiABEiABEiABEiABEkgsASpIieXNq5EACZAACZAACZAACZAACXiYABUkDw8ORSMBEiABEiABEiABEiABEkgsASpIieXNq5EACZAACZAACZAACZAACXiYABUkDw8ORSMBEiABEiABEiABEiABEkgsASpIieXNq5EACZAACZAACZAACZAACXiYABUkDw8ORSMBEiABEiABEiABEiABEkgsASpIieXNq5EACZAACZAACZAACZAACXiYABUkDw8ORSMBEiABEiABEiABEiABEkgsASpIieXNq5EACZAACZAACZAACZAACXiYABUkDw8ORSMBEiABEiABEiABEiABEkgsASpIieXNq5EACZAACZAACZAACZAACXiYABUkDw8ORSMBEiABEiABEiABEiABEkgsASpIieXNq5EACZAACZAACZAACZAACXiYABUkDw8ORSMBEiABEiABEiABEiABEkgsASpIieXNq5EACZAACZAACZAACZAACXiYABUkDw8ORSMBEiABEiABEiABEiABEkgsASpIieXNq5EACZAACZAACZAACZAACXiYABUkDw8ORSMBEiABEiABEiABEiABEkgsASpIieXNq5EACZAACZAACZAACZAACXiYABUkDw8ORSMBEiABEiABEiABEiABEkgsASpIieXNq5EACZAACZAACZAACZAACXiYABUkDw8ORSMBEiABEiABEiABEiABEkgsASpIieXNq5EACZAACZAACZAACZAACXiYABUkDw8ORSMBEiABEiABEiABEiABEkgsASpIieXNq5EACZAACZAACZAACZAACXiYABUkDw8ORSMBEiABEiABEiABEiABEkgsASpIieXNq5EACZAACZAACZAACaQogfnz58s777yTor3PfLdPnDiR+UZiaIEKUgyQWIUESIAESIAESIAESIAEMkvg/ffflyFDhmS2mZQ737Isufvuu2Xq1KkJ6Xs2dUErIVfiRUiABEiABEiABEiABEgghQns2bNHsApSokSJFKaQ/q7//fffkitXLhk7dqy0bt06/Q2k84wz0lmf1UmABEiABEiABEiABEiABMIQ2Lx5syxcuFDwUF+xYkW58cYbJVu2bLr2r7/+KocOHdIK0s6dO+Xbb78N2UqlSpXk4osv1seOHDmi2/v555/l8ssvl7p162plwT7xhx9+kK1bt8ptt90mOXLksHcHfKKNWbNmye7du6VkyZJy0003yXnnnafr7Nu3T1atWiX16tWTM8880zlv9uzZWv5LLrlEDhw4ICtXrtTX+OyzzwR9rFWrlpQvX96pH0sdu/JPP/0kX3zxhWZ07bXXSpUqVexDsnbtWsH6TZ48eXS/wQ/1UXDsyy+/lBtuuMGpH5cNrCCxkAAJkAAJkAAJkAAJkAAJZI7ApEmTLKWkWOXKlbPUQ7yVM2dO65ZbbrH++ecf3XC7du2sq6++Wm9/8MEHVtmyZZ2/ChUqWBdccAEsu6zJkyfrOkohsC677DJLrZ5YtWvXtgoXLmxdddVV1o4dOxxBe/bsqc9RSpCzz73xyy+/WMWKFdPn1qlTx8qfP79VtGhR67vvvtPVZs6cqc9Xq1vu06zs2bNbb7zxht43b948Xad58+Za3po1a+rvrVq1cs6JpQ4qDxw4UDNCX5Sypttp06aNwwhtQs4iRYroY7fffrtmBi6XXnqp1bJlS+ea8dqgD1Jc1E42SgIkQAIkQAIkQAIkkGoEnnvuOenQoYNgVQcrJEpp0J9YoQkuTZo0kQ0bNjh/c+bM0StN8LW599575d9//9XmZEqhEaw2YVUKKymnTp2S7t27O821bdtWPvroIznrrLOcfe6NUaNG6a9KqZIFCxbots444wxRypy7WkzbBw8elHXr1snnn3+u+zZ+/Hht9uY+OVKdJUuWSL9+/WTAgAGyfft23Z8JEyboNkaMGOE0g1WqJ598Ug4fPizYv2LFCn2sf//+gmvGu1BBijdhtk8CJEACJEACJEACJJASBGC2tmjRIq08wNfo5ptvlmPHjknVqlUj9h9mdw0aNBCYs0EBgEne6tWrZc2aNaJWiKRQoUL6/HPPPVegEE2fPl2OHj2q96mVJ1GrLGHN6yATTPvefvttgTld7ty5tXIyaNCgiDKFOnj//feLWhXTh+rXry9qdUs+/vjjgKqR6kybNk2bCfbp00crdGqVSlq0aKHbcSs++fLlk86dO8s555wjF154YUD7ifhCBSkRlHkNEiABEiABEiABEiAB3xN466235OTJk9pXBys/jRo10r4/kToOX6VmzZpphefDDz90VoI2bdqkT2vfvr1AYbD/+vbtq/dv2bIlUrPOMZzfsGFDeeSRR7SyAX+fF154QcvpVIpxA0qRu8AfCitK7hKpzsaNG0WZH7qr623IB78mu0DxSmZhkIZk0ue1SYAESIAESIAESIAEfEPgyiuvFCg2MAn75JNPRPn36NWdiRMnClZWQpWHHnpIrxYtW7ZMlF+OUwVR21CGDx+uV12cA6c3YlUiEOwAK04I8jB37lz9BzM3yAj57ALTPbtgdQomfsElb968Abuw0lWwYMGAfZHqYPXq+PHjAfXxBcEl3CtF4cwF05wYpx1cQYoTWDZLAiRAAiRAAiRAAiSQOgSwctSlSxeB/0z16tXlmWeekW+++UabzUExCVWefvppUQEZ5L333guICIe6MJ1DwarLdddd5/zBlwjn2KZuulKEf+CDpAIj6Mh5nTp10iZxXbt21QoclCAoUCi///670wquGap89dVXAbuh1Lkj0OFgpDqIegcmtnmg3Rgi06ngE/bXNJ92FMBQSluaylmwgwpSFkBkEyRAAiRAAiRAAiRAAqlNACGyoWQggMLy5csFobXhn4MAC9dff30aOAhOACWqV69eUqBAAa1YQLnAH8znYIqGQA5YQcLfH3/8IZ9++qk8+OCDgiALdkhuKFcwo4OCFqrAf+mpp57SQRkQ9AChxeEnBb8o+AAhFDnaQwCEbdu26etjVSuUAga/IKw6Iay4ijynfZmwz10i1enWrZteQWratKkO140gFSoqnaxfv177VrnbcW/b/V28eLEO9e0+FpfteIXHY7skQAIkQAIkQAIkQAIkkEoEVGQ2S/kTWSowgg5RffbZZ1uPPfaYE8LaHeZbKT+6jnrAT/OpothpbErh0mGtlYKg6ygzNAttqBUYB2u0MN+o2Lt3b6tUqVK6DYTvVjmMrF27djltqEhxllpJ0sdVYARLBXTQ4byDw3wr5c9S5m+6nloNspTC5rRhh/mOVAeV1WqRbhv9VitDFsKbq5xLTjsI812tWjXnu72BdsFBKXz2rrh9ZkPLcdG82CgJkAAJkAAJkAAJkAAJpCABlfdIVP4hbV6HVZrMlr/++kuUQiMqD5CTdDYjbWI16/zzz3fM6txt2DIjQW1wwln4U916663ajwm+QoiKp3IruU/XJnvR6rhPQGJZFDtCn/tYuG34L7nNAsPVy+x+BmnILEGeTwIkQAIkQAIkQAIkQAIuAlAwSpQo4dqTuU0EbMiK9i666KKwgsQqM0z7gpWj4EZjqZMexchuH0EeElEyr9ImQkpegwRIgARIgARIgARIgARIgAQSQIAmdgmAzEuQAAmQAAmQAAmQAAmQgKkEEHACYcLLli0bMngD+hVLHVP6TwXJlJGinCRAAiRAAiRAAiRAAiRAAnEnQBO7uCPmBUiABEiABEiABEiABEiABEwhQAXJlJGinCRAAiRAAiRAAiRAAiRAAnEnQAUp7oh5ARIgARIgARIgARIgARIgAVMIUEEyZaQoJwmQAAmQAAmQAAmQAAmQQNwJUEGKO2JegARIgARIgARIgARIgARIwBQCVJBMGSnKSQIkQAIkQAIkQAIkQAIkEHcCVJDijpgXIAESIAESIAESIAESIAEzCbz66quyZs2auAu/ZcsWefnll+Xo0aP6WvPnz5d33nnHue4ff/whr7zyijz00EMybdo0vf+vv/6Sf//916mTVRtUkLKKJNshARIgARIgARIgARIgAZ8RePzxx+XLL7+Me6++++476d27t/z555/6Wu+//74MGTLEuW67du2kX79+snfvXvn7779lw4YNcuWVV8rx48edOlm1cUZWNcR2SIAESIAESIAESIAESIAESCArCDzzzDNy4sQJp6mlS5cKlKShQ4fqfZMnT5aNGzc6x7NygwpSVtJkWyRAAiRAAiRAAiRAAiTgIQJQMlasWKGViTp16sjll18eIN3hw4flk08+kV27dknp0qWlbt26kitXroA6wV9++ukn+eKLL/RKzrXXXitVqlRxqqxdu1Ysy5I8efLIwoULpXbt2rrdzz77TM455xy57rrrnLqRNn799Vc5dOiQFChQQD7//HO9jdWlWbNmSfny5R2zv3nz5slVV10ll112WaTm0nWMClK6cLEyCZAACZAACZAACZAACZhBYMeOHVK9enVtlgbFpFu3bnLjjTcK/HuyZcsmy5cvl6ZNm8rBgwelcuXK8vXXX8sVV1whM2fODKtwDBo0SJ566imtuEDhge9QmzZtZNSoUZI9e3aBz9LOnTsFJnP79u3T7c+YMUNat26t254zZ05M8IYNGyarV6+WqVOnClaTTp48KZ9++qmsX79eevXqJdOnT9ftDBw4UHr06BFW3pguFlSJPkhBQPiVBEiABEiABEiABEiABPxAoGHDhlKyZEnZunWrwEQNysWSJUtkypQpcuzYMXnggQekUqVK+viqVav08SNHjuhACKH6j3PhBzRgwADZvn27YCVpwoQJMnbsWBkxYoRzClaLnnzyScHq1BtvvKH3jxkzRvr37+/UiXUDK16QDStSUPCwfe+998pzzz2nm8BKVosWLWJtLqZ6VJBiwsRKJEACJEACJEACJEACJGAOAaweQSHCak/x4sW14DChW7x4sVSrVk2++uorrRgNHjzYOV6xYkW5++67ZdGiRYLzgwuix0Fh6dOnj5x11ll6xQjKCczbxo8f71TPly+fdO7cWZvUXXjhhXp/vXr1pGrVqk4dL29QQfLy6FA2EiABEiABEiABEiABEsgAAfgCoUApcheY3EGhQYADmNmVLVvWfViw6oSyefPmgP34gnPKlSuXZj/OcdfPSn+gNBdLwA4qSAmAzEuQAAmQAAmQAAmQAAmQQCIJ5MiRQ1/OHQkOOxBAAQUrQNiGb4+7nHHG/4UosFd+3Mdy584dMqw2ruWuj7ZNLlSQTB49yk4CJEACJEACJEACJEACIQjYK0Pw2XGXG264QTp16qQjwWE/fHjcBRHjzj777DQrT6iD6HHffPONk8zVPg95khBJLpEFq18otsKXldemgpSVNNkWCZAACZAACZAACZAACXiAQIkSJaR58+by3//+VwdSQKS61157TVauXCldu3bV4bYR0hvKEgIo7N+/X1566SV5/vnnpUOHDtq/KLgbCJKAxKyIfAelCMlaW7ZsqX2d2rZtG1w94DsSziIyXVaVvHnz6qYQzS6Uv1RmrkMFKTP0eC4JkAAJkAAJkAAJkAAJeJTAyJEjpUaNGgLlpWDBgjq4wssvv+z4HSGaHcJ/IwFrkSJF5H//+5907NhRf4bq0kUXXaRzJkEhqVmzplSoUEGvKCGMd61atUKd4uybNGmSzJ071/me2Q1cH6HJET78xRdfzGxzAednU8tS/2eIGLCbX0iABEiABEiABEiABEiABPxAAKs+SAR78cUXh0wCi+N79+4VrDrFWg4cOKCrFipUKNZT4lLvjz/+EKwm2b5TWXERKkhZQZFtkAAJkAAJkAAJkAAJkAAJ+IIATex8MYzsBAmQAAmQAAmQAAmQAAmQQFYQoIKUFRTZBgmQAAmQAAmQAAmQAAmQgC8IUEHyxTCyEyRAAiRAAiRAAiRAAiRAAllBgApSVlBkGyRAAiRAAiRAAiRAAiRAAr4gQAXJF8PIToQiYAdoRIboBQsW6DCUoepxHwmQAAmQAAmQAAmQAAnYBKgg2ST46RsCa9eu1XHxFy9eLP/++680atRI6tWrJ1WqVJH27dv7pp/sCAmQAAmQAAmQAAmQQNYTYJjvrGfKFpNMAIpQjhw5ZPLkybJ9+3ZBlughQ4ZIqVKlpEmTJvL555/L9ddfn2QpeXkSIAESIAESIAESIAEvEjjDi0JRJhLIKIFjx47JmjVr5Ntvv9UK0euvvy4FChSQLl26SPbs2aVatWqyatUqKkgZBczzSIAESIAESIAESMDnBGhi5/MBTrXuIZsyfI8KFy6suz537lxtXgflCOXEiRNy7rnn6m3+QwIkQAIkQAIkQAIkQALBBKggBRPhd6MJXHjhhVKoUCF58803Zdq0afLTTz9J48aNtdL0/vvvy+rVq7XCZHQnKTwJkAAJkAAJkAAJkEDcCNDELm5o2XAyCGTLlk1effVVad26tZw6dUrq1KkjzZs3l3nz5sm9994rnTp1kqJFiyZDNF6TBEiABEiABEiABEjAAAIM0mDAIFHE9BPYt2+f7N27VypVqiRQmvbv3y8HDhyQChUqpL8xnkECJEACJEACJEACJJAyBKggpcxQp15H//nnH9m2bZucccYZAtO7nDlzamUp9UiwxyRAAiRAAiRAAiRAArESoA9SrKRYzxgCUIwGDRok5513nhPJbsWKFVKrVi3tk2RMRygoCZAACZAACZAACZBAwgnQBynhyHnBeBN47rnndN6jDh066HDfuN4ll1wif/75p1SvXl1gfoc8SSwkQAIkQAIkQAIkQAIkEEyAK0jBRPjdaAII8f3yyy/L+PHj9eell16q+wMFaeXKlToX0vLly43uI4UnARIgARIgARIgARKIHwEqSPFjy5aTQGDPnj1y5MgRvVIUfHn4IFWuXFmWLVsWfIjfSYAESIAESIAESIAESEAToIIU40TAyoRd1q9fr8NGI+mo6cXdL0R6+/DDDwVKhqnlggsukNy5c8vMmTPTdAFR7RYvXqzN7dIc5A4SiCMB+3d28uRJWbBggXzzzTdxvBqbziwBe7zQjh/ui5nlwfNJgARIINUIUEGKMuJ//fWX3HPPPdK9e3ddc/jw4Tp09G233aZDRv/2229RWvDuYSRTLV++vBZwy5YtUqZMGWnSpIkUL15cK4DelTy8ZNmzZ5cHH3xQnnjiCRkwYID8+uuvcvjwYRk1apQ0atRIChYsKPXr1w/fAI+QQBYSWLt2rV61hGL+77//6jlYr149qVKlirRv3z4Lr8SmsoqAH++LWcWG7ZAACZBAqhCgghRlpJF0FG98a9SoIYiO9tRTT0mDBg3k66+/1lHSEBDAxPLTTz9Jt27d5KabbhK8LR08eLAOhw3zs86dO0u7du1M7JaW+aWXXpKGDRtK//799YrYyJEjdX+gKL3//vt63IztHAU3ikDbtm0lV65c+qXDokWL9L1kyJAhMmvWLBk7dqzQH85bw+nn+6K3SFMaEiABEvA2AeZBijI+t99+u34DjNWIpUuXyg033CCffvqp1K1bV1577TV577335IsvvojSivcOv/POOzJw4EDZuHGjFq5YsWL67faIESO0iV3RokX1J0zWTC0///yzfPfdd/L777/rcN/XXHONflg1tT+U2ywCx44dk7x58+pIikhYjFXoiRMnapMtrHTWrFlT7rrrLunatatZHfOxtKlwX/Tx8LFrJEACJJBlBBjmOwpKmNAVKlRI15o3b56cffbZ+sEGO+BPkC9fvigtePPwwYMHnX6tW7dOdu/e7ZieoV9Iroq+mlAQvhtv4yMVrPjhDwUrgKVKlYpUncdIINME/vjjD706W7hwYd3W3LlzBeZ1UI5Q4MN47rnn6m3+4w0CfroveoMopSABEiABMwlQQYoybldeeaW8++67euVowoQJWok488wzZcOGDTJu3Dhj/QjQrz59+siSJUtkzJgxOrABHt5ghoaVpapVqxqj/OFBtHfv3lFG8v8fxmoZFaT/z4Nb8SFw4YUX6pcQ8GmpUKGCTlL89NNPa6Vp+vTpsnr1aq0wxefqbDUjBPx0X8xI/3kOCZAACZDAaQLK/4QlAgFlpmVdfPHFCGFnnX/++ZZSjHRtZTpjXXvttdaOHTsinO3tQ82bN9f9Qt+GDRumhW3Tpo2lAhlYM2bM8LbwlI4EDCCgTOostRqrf2d16tSxVNAXa86cOZZKVGwpXz8DepB6IvK+mHpjzh6TAAmQQDAB+iDFoCrDFAahvREBDSsseMs4f/58/fY3W7ZsMbTgzSpqMsgPP/wgyA+EPl522WW6n3jbbarpoDdJU6pUJrBv3z7ZtWuX/k3ht6aUI8GqZ8WKFY3HgnuIfQ/EPRL9rFWrlpx11lnG9o33RTOHzo9z0cyRoNQk4A8CjGIXwzgiCEPLli21AnHHHXfoM2DShYhoJhc8zCDSG8J7Q+mDsjRt2jR59tlnBQ7mppZbb71VP6ThQS3UH8wKWUggEQQQ+XL06NE6WuTll18ur7/+umzdulVHikTENFOLn9Mf+PW+aOpciya3n+ditL7zOAmQQPwIUEGKwvbbb7/V0d2wqtKrVy+ndrVq1eTuu+/WYXudnQZt4D+Vxo0ba78IhDK3AzIgshZyBtl5nwzqkiNqkSJFBP4f9h9W/o4cOSIIYV6gQAG9EuhU5gYJxJEA0gAghH6HDh1EmdjpK11yySWCwCLVq1fXqQPiePm4Ne3X9Ad+vi/GbTIkuWG/zsUkY+XlSYAE1LI0SwQCrVu3tu6//35dQ0Wxs9TDjVNb5QqyVIhe57tJG7Nnz7ZUdC1LmfposZVJnbVy5Uq9rcwHLaVcWCqxpUldiiqrymdlXXTRRZYyeYpalxVIILME8PuBr+KHH36om1IJjK1HH31Ub6sHcUtFx7TU6nRmL5OU81XSZatfv3762l9++aX2sVLpD/T3oUOHWiodQlLkyuxFU/G+mFlmyT7fr3Mx2Vx5fRJIdQJcQYqiI8MMBkliQxUVpEHnRgp1zOv7Nm3apCNrhQozjH7t2bNHtm3b5vVupEs+vMFHXieEa2chgXgTwG8IK5dYKQou8EWqXLmyXtUMPmbCd7+mP0jF+6IJ8y2SjH6di5H6zGMkQALxJ0AFKQpjBC744IMPQtaaOnWqwFzGxFKiRAmt3B04cCCN+OgX8iAhHLafinobopN0ItcJCwnEmwCU8dy5c8vMmTPTXGrv3r2yePFiY+8f8FlE+oNvvvlGQqU/uOWWW9L02YQdqXhfNGFcIsno17kYqc88RgIkEH8CzIMUhbEyi5G6detKq1atpFy5cqLMZrTf0fjx42XhwoXy8ccfR2nBm4dvvvlmUeZmOmlqz549db/w9hT9GT58uNx3332SK1cubwofRaq33npL/v7774BaeJOPlaOdO3dK7dq1A47xCwnEgwASwuL+8cQTT+gV2V9//VVHsIOPH35j8I2rX79+PC4d9zYfe+wxHXiiSpUqotIfyKBBg/Q1r7vuOn2fvPPOO+MuQzwu4Of7Yjx4eaFNv85FL7ClDCSQ0gRS3cYwlv6rBxqdA0lNFCdvkApqYCnn61hO92ydtWvXWldddZXTJ7t/TZo0sX7//XfPyh1NMGU2aCnlLuAvT548lorWZ6mkuNFO53ESyDICKhqkBT9GFQo74HemItpZS5cuzbLrJKOh48ePW1999ZWlXj44l1+0aJHxvot+vS86g+TDDb/ORR8OFbtEAsYQYB6kGNXjQ4cOaXOS7du36+hoSrEQFeQgxrO9Ww0rYqtXrxasHmHFCNH6sFJmcoHpD/zG/GYiaPKYpLrsKuG0fPfdd6JePEipUqXkmmuuMXaFNngs9+/fr1fIYOp08uRJOfPMM4OrGPfdj/dF4wYhAwL7cS5mAANPIQESyAICVJCyACKb8A4BmNIhlPeLL75odKhy7xBNnCTqtZKTdBQPOsuXLxeYbCFcO4v3CKiodaKieMrGjRu1LxWCukBJUtHt5K677vKewJTItwQ4F307tOwYCSSNAH2QQqDHCgScqGMpSP542223xVI16XXWrFkjSHoba8HDj2kFb69VyHJR4ctNEz2l5X3zzTdl2LBhsmHDBtmyZYteYcEY5siRQ2bNmiVI/mtCQX6jsWPHxixqgwYN9IpSzCd4pKKdH+7222+Xhg0bOkmz7fxweGCF76YJJRXuiyaMQ0Zl9NNczCgDnkcCJJD1BLiCFIKpyuEhq1atCnEk7S44I0+ePDntAQ/uQUK9xx9/PGbJYC5jYlF5WKRPnz6CSFpXXHGFdiJ39wMPdVBsWbxBAKH0YdqJgAYIsPHwww/L9OnT5aOPPhJEVJwxY4bs2LHDG8JGkQJywoQu1oJ7h4kBDdq0aaMDoUycOFE++eQTnQjXTgvQvn17Hb0Pv0MTSqrcF00Yi4zI6Ke5mJH+8xwSIIH4EOAKUgiuKvFhiL3m7+rRo4fgz+9lwIAB2lQLb7HxF1wQypcKUjCV5H1XCYqlZMmSOrIbpEAkxWbNmsn1118vl156qbz22mt6RRdhs71eihcvrv1wvC5nZuWDUvvAAw+EbAZ51EaMGBHymBd3psp90Yvss0ImP83FrODBNkiABLKGAPMgZQ1HtuIhAginfPTo0bB/TZs29ZC0FAV5qQoVKqRBrFu3Tnbv3u2Ev8YqJnJyqaiRBOUhAn7ND+chxBQlRgKcizGCYjUSIIF0EeAKUhRcL7zwgs6fE65arVq15Omnnw532LP7V6xYEdXcDoksWUgg3gTg2A+TyCVLlogKw67Ns+rVqyeHDx+WgQMHStWqVbVfWbzliEf78J06ceJE2KafeeYZnU8obAWPHvBrfjjeFz064SKI5de5GKHLPEQCJJAAAlSQokBWOXUComgh0hYCOKxfv16H+S5fvnyUFrx5GMEMgqOD4YEUEamQTLV79+7eFJxS+Y4AEvc2atRI8LIBBcEazjnnHGnbtq02txs5cqTeb+I/RYoUkb/++ssRHQmM4auDlTL4wiFZrIkFYwUzut69e8uECRN0F6DUYqVP5YfT42liv3hfNG/U/DoXzRsJSkwC/iLAIA0ZHM8DBw4IHuzwBthEJ+tw3YYC2KVLF4HZ05QpU8JV434SyFICmHc//PCD5MyZU6+4wGwGLyEQvAFRCf1WPvvsM1EJZHUOMpPzqfk1P1zwfON9MZiI976nylz0HnlKRAL+JEAFKRPjijeln3/+uX7LnYlmPHcq3nAjEhfCLOfNm9dz8lEg/xGwVy0RvQ4FgRsQ4Q3+R88++6wvfZAQzAAvI1q2bGnEgPo1/UGs8HlfjJVU/Oul+lyMP2FegQRIgCZ2mZgDMLXDSovfyr59++Sff/4RvJGjguS30fVef2CC1rhxYzl16pQg5HLfvn21kDVr1tShv2H6abKZXSjiWJFAMlyT7h+IJpie9Aem5IcLNT6h9vG+GIpKcval+lxMDnVelQRSiwAVpCjjjTDRSF7pLoistWnTJu1Q/sQTT7gPGbONt6HIM+MuUIp+++03efvtt6Vs2bJSrFgx92FjtvHwmS1btpDy4mEbfhJYmWDxBoEFCxbIrl27BOF64fPXv39/LRhMV2Fe16pVK4k0pt7oRWgpkNcJfkfucuTIER34BatmMNM1pfg1/YGbv5/vi+5+mr6dCnPR9DGi/CRgOgE+JUYZQSSqRDJEd8mePbucd955+u22/bbbfdyEbfh7wME6uOTJk0cqV64spiR5tOVHWO9evXrJtGnTtHLUsGFDeeWVV5zw0aiHFQo8gMM846677rJP5WeSCeBlA3yNMDbBBWZoe/bsETy4In+VaQXR+Y4fPx4gNvysLrroIhk1apT+rQUc5JekEvDbfTGpMHlxEiABEjCYABWkKIPXrl07wV+1atWi1DTrcPXq1WXcuHE6ISciN5lekOwRiux9992nFSQoSlj9w+pExYoVTe+er+WH4rN06VJB4BM7H5LdYbygwGqfqauZMA2sUaOGsfLb4xD86df0B367LwaPmx+/+3Uu+nGs2CcSMIlAdpOETYasuPn27NkzGZeO6zVnz56tlQk8lJpeYMI0duxYHR4ab+VhIogVB0RCq1u3rvz888+md9HX8t988816RaVBgwY6cuK///6rTViffPJJwR+U3ly5chnHAKZ0LVq0kPfee8842aMJbKc/QKoA/F1wwQX6FEQehK+OqekP/HRfjDaGfjnu17nol/FhP0jAVAJcQYoycshTsnXrVh20IEeOHFFqm3PYzr+CQAww9zG5wH8F5nPIpWOX/Pnzy/z58+XGG28UPHgvW7ZM59axj/PTOwQQCOSDDz7QYa+hDKE88MAD+rNJkybGmXtqwdU/WJmFDxWiQfqtPPzww4K/4GKnPzD1Xumn+2Lw2Pj1u1/nol/Hi/3h9kaPAABAAElEQVQiAVMIMMx3lJFCZnU4iefOnVuQkK548eIBAQBKly4d8GAepTnPHMZbXqyMzZs3T5o2bSolS5bUD3RuAU1ZOTtx4oQOvDBp0iT5z3/+4+6C9l+B2cwll1yiw7HjgZU+SAGIPPMFK0erV6/Wq0dYMYJfUrly5TwjX0YEgS8f/JBuueUWueKKK+T8888PaAbJYi+//PKAfaZ/MTn9gZ/ui6bPo6yQ3+S5mBX9ZxskQAIZJ0AFKQq79u3bCx68w5VmzZrJO++8E+6wZ/dDMYqW4BaBD0wpzZs3FyizHTt2lE6dOglWkOyyZcsWQcjookWL6gdwKkg2GX7GmwBWJIKDNLivCb85vKDwU0GwlOXLl+tVW9P65bf7omn8s1pek+diVrNgeyRAAukjQAUpfbxY26MEYNqDhJt4wIE53fXXXx8gKaJTwXxr7dq1XEEKIJOcL2vWrJEvvvgi5ot37do15rqsGH8CsaQ/QIJfFhKINwHOxXgTZvskkJoEqCCl5rj7ttcwkYEZHUwigwvyPGH1CGHMTTfdCu6bad+REPbxxx+PWWzkHmPxDoEHH3wwbPoDJP1FIk8/RMf0DnFKEo4A52I4MtxPAiSQGQJUkDJDj+eSAAmQQAoSgDkrit/SH6TgUBrfZc5F44eQHSABTxKgguTJYaFQJEACJOBdAoguuH//fiP9jLxLlZJlhADnYkao8RwSIIFoBBjmOxohHicBEogrAbwBjmZut3jx4rjKwMbTR8Cv6Q/SR4G1vUCAc9ELo0AZSMB/BKgg+W9M2SMSMIoAfFWQbNRdDh8+LBs3bpSdO3dK9+7d3Ye47QECDz30kA6yUaVKFV+lP/AAWoqQTgKci+kExuokQAIxEaCCFBMmVjKVwLBhw2TmzJny2WefmdoF38t91VVXyZQpU9L007Is6dKli/zyyy9pjnFHcgmMGTNGK6+QYtOmTWmEQfoDd+LmNBW4gwSyiADnYhaBZDMkQAIBBOiDFICDX/xGoF+/fjJ27FjZtWuX37qWEv3Ztm2blCpVSv744w/JmzdvSvSZnSQBEiABEiABEkgugezJvTyvTgIkQALhCSBsO8KzHzp0KHwlHiEBEiABEiABEiCBLCRAE7sQMK+55hpBYtFYCkxJJk6cGEvVpNcZNGiQPPfcczHLcezYsZjrsiIJZJQAVok++uijgNOhFP3222/y9ttvS9myZaVYsWIBx736BX5TV199dcziTZo0SZo2bRpzfVbMegK8L2Y9U7ZIAiRAAqYToIIUYgSRxPLOO++Uv/76S2CilT17+IW20qVLh2jBm7s6dOggCxYskEWLFknnzp3lsssu86agWShVnTp1BFGOWLxLAC8jevfunUbAPHny6KS+Q4cOTXPMqzvKlCkjffr0kf79+0uNGjWiKj8VKlTwaldSRq5UvC+mzOCyoyRAAiSQQQL0QQoD7qefftIPZ3jQ+e9//xumlnm7T506JbVr19bK37JlyyRHjhzmdYIS+4oA/Ivmzp0rWI1FRDs/lFdeeUX69u0rX3/9tVAJ8v6I8r7o/TGihCRAAiSQSALhl0YSKYUHr4WVoQEDBmiTtIMHD3pQwoyJdMYZZ8jo0aNl3bp1ISOHZaxVnkUCGScwe/Zsue++++TAgQMZb8RjZyI0OaLzYTWJxfsEeF/0/hhRQhIgARJIJAGa2EWgjYcc+BPAH8JPBcrfypUrI5oO+qm/7Iu3CdgmkAjEcNFFF3lb2Bilg1nujBkzZMOGDYJw5dmyZYvxTDOqRerT8ePHdSdy585tRmdOS8n7olHDRWFJgARIIK4EaGIXV7xsnARIIBoBRKrr2bOnzJs3T/vslCxZMo2pHY6zJJ/AhAkTtH/V7t279cujl19+WftauSVD0ImcOXPKu+++697NbRIgARIgARIwhgAVJGOGioKSgD8JQDFCUJRI5ejRo5EO81gCCHz66adyyy23yE033SQ33HCDTJ06VX7++WdBEI1HHnnEkYAKkoOCGyRAAiRAAoYSoA+SoQNHsWMj8Pjjj+sw0X///XdsJ7BWwgnceuutAgUo0l/CheIF0xAYMWKE1K9fXxYvXqx9Mzdt2qQDUXTp0kXGjx+fpj53kEC8CCAVx9lnnx3T3wMPPBAvMdguCZCAjwnQB8nHg5tqXdu8ebN29D9y5Ih+2F69erXAJOjSSy+VJk2ayD333CP58+cX+Ebky5dPKlWqlMaUK9WYsb8kECuB7du3S6tWrZzq8Kt69tlntY9mu3btdK6qunXrOse5QQLxIuDXVBzx4sV2SYAE0k+AClL6mfEMjxFAEI3bb79dh4q2RYOTPHLSwAyoXLly0rVrV3n44YfFnfwWyhLMu6699lr7NH6SAAmEIVC0aFFZuHBhgDkdqg4cOFB27NghzZs3l88//zzM2dxNAllHoGbNmvLll1/qVBy4/z/66KNZ1zhbIgESIAFFgCZ26ZgGP/74o1SsWFG+/fbbdJxlRtVGjRrJiy++aIawQVIuX75cK0fwkUBOHawgIa8JEpDeeOONUqhQIR3SHCZcJ06c0MfXr18vl1xyibzxxhtBrfErCcSHwLBhwwSJi00tCMX+8ccfC1aL1qxZE9CNMWPGSK1atbR/En5bfikm3xf9Mgbh+uHXVBzh+sv9JEACiSXAFaR08MbD9ffffx+wCpGO0z1dFf4EpUqV8rSM4YSDLXrHjh0lFvMeJCLFHxRdvHVEBDUWEkgEAcy1jRs3JuJScbkGTFSRQBsrRuecc47O82RfCHmEpk2bpn+H48aN0xHu7GMmf5p8XzSZe6yy+zUVR6z9Zz0SIIH4EaCCFD+2bDlBBJCr6q233kpzNTtXy8mTJ+WLL77Q/keoaxe8EWchARKIncCTTz4pvXv31iu1wWfhxcPYsWO1ksQXD8F0+D0eBHLkyCG1a9eOR9NskwRIIMUJ0MQuxSeAH7u/du1abZuOaFv//vuvwEymXr16UqVKFWnfvr0fu8w+kUDCCJx11llywQUXhL1e1apVpXHjxmGP8wAJkAAJkAAJeJ0AV5DSMUJ4KEDUposvvjgdZ5lRFUEMLr/8cjOEjSJl27ZtJVeuXFK8eHFZtGiRLFiwQIYMGaJNCBHNrk2bNnL99ddHaYWHSSBrCcD/qGDBglnbKFuLKwE/3RfjCoqNx42AbQmBC+zfv1/gc3vdddfJhRdeGLdrsmESIAERJorlLPAVAUSpy5s3rw6kgTDesFGfOHGi/o8Fke0Q/eiuu+7SUe181XF2hgRIgARIwFcE3nzzTUFwlw0bNsiWLVsE+Z8QiAimhbNmzRLkkGMhARKIDwGa2MWHK1tNEgH854E3boULF9YSzJ07V5vXQTlCQaCNc889V2/zn+QRGDRoUExJHu1kkMmTlFcmARIggcQTQECUbt266ciQ+D9t8ODBgmAoy5Ytk86dO+tokomXilckgdQhQBO71BnrlOgpzA4Q1htv3ipUqKCjbj399NNaaZo+fbogeSz8kViSS6BDhw7a9BEmkPjP/rLLLkuuQLx6hgkg/cGdd96pV2orV66c4XZ4IglkloCf5uLKlSulZMmSMnz4cI0FIfabNWumzcOR/Py1116TvXv3RvQHzCxPnk8CqUyAClIqj74P+54tWzZBlvXWrVvrXEjw+0ACSySEvffee6VTp06ChJcsySVQoEABmT9/vo5AtWrVKhk6dKg2G0muVLx6Rgj4Of1BRnjwnOQR8NNcPHjwoH7ZB5rr1q2T3bt3S/369TVcRGbFahJW2FlIgATiQ4AmdvHhylaTSOD++++XnTt3aj8kJI/NmTOnjmCH6Havv/56EiXjpd0E8B/86NGj9X/+U6ZMcR/iNgmQAAmkNIErr7xSvv76a1myZIn873//k9y5c2vrh8OHD+tcZIgWmS9fvpRmxM6TQDwJUEFKB90vv/xSLrroIv3mOx2neb4qQmHjZoyITX4pRYoU0X3CihIKfJJgcsfiLQKlS5cWmJKkgmnW448/LmXLlpW///7bW4NAaUIS8ON9MWRHudOTBJDfCSkqatWqJRMmTJCXXnpJJ2hG4KGZM2dKr169PCk3hSIBvxBgFLswI/nrr7/Kzz//LH/++accP35cdu3apZ0kS5UqJRs3btQ3J5hqIaM8EiSWL1/eiBC+eDj7/vvvdb+OHDkieBs1bdo0bcuMKDkIgY2H1fPPP1+HykYfy5QpE4aSd3f/888/smLFCvn999/TCIl8SAyRmgYLd2Qhgc2bN8uBAwcEv7GjR49q3zeslsF3AL+te+65RycuxlthvAVGxEXcR0wsSAo7cuRIfe/ACyQTS6rcF00cm/TI7Ie56O4vgjP88MMPOrCQ/duCHy1ScnD1yE2K2yQQBwLqB8gSROCNN96wVB4dS+F2/pTjv/XMM8/oms8995ylcuw4x1BPrVRYAwcODGrJW1+VYmepXE4Bcqukj9Ztt91mqehvlsoXZKn8QLov7r5jn7Lt9lZnIkgzYsQIS/m4BPTT3Z933303wtk8RAIZJ3Dq1Cn9e3LPNxVB0SpXrpylTGUslcfEUr5wlvIdCJif+fPnt7766quMX5hnZphAqtwXMwyIJyadgHrRYikTcUu9sDXq/+Kkg6MAJJAJAlxBUk8ywQWrJsiV89RTT+lVFLzlhb9EcMFbR/VAJHCmfOWVV0Q9mOu3xcH1vPIdIUMRNQzL84j0Bt8cpSClEQ+mJXAChcMrzJ+UAqVzLjRs2DBNXa/tUL8FHRHtlltu0SaDeFsfXNTDaMh+B9fjdxJILwGY4SLXFnzfrr32WseR2jb1dLeH3xjuH1ipbtmypV5FGjdunLsKtxNAIBXuiwnAyEvEgQB8aWFShwisKPj/ePLkyfq+gqT1DNIQB+hskgROE0j71E80Ovla+/btBZG2IhUoGPjD0jeio8EsD0oT9nmxqLfY2nwuWkhl5AyCUog/JKLDA8R5553nxS6lkQkmddu2bZNHH31UmyGkqcAdJBBHAnhg6dixo9StWzfqVWBSh7+KFSvq+QrzIJbEE0iF+2LiqfKKmSXw119/SePGjfVLFERm7du3r24SL2AefPBBbR4P01YWEiCB+BDgClKMXLEyYb8FXr9+vfZJgvNkqBWYGJv0RDV3v5T5jyxfvlyuu+46o3104GOEN/JQ7FhIwAsE7N8ZVo2++OIL7X909dVXe0E0yhCCgD1eOOSX+2KIbnKXhwnMmTNH+/UhYSySm+MPK9P4/xmfrVq10s8h9nOJh7tC0UjASAKMYhdl2PAWBw7VWOZGQdI2OFTD7AxR0X777bcoLXj3MJKpIrgECgI0IBhDkyZNRPlX6bxB3pU8smQwR3j55Zd1BCAk0xs1alTAH0yaWLxLAJGbXnzxRe8KmA7JEFoeQU8WL14sMF1F35CoGEo8VqlZvEfAr/dF75GmRJEIbNq0ST9jQDEKLjDf3bNnj2xT1hIsJEAC8SFABSkKVyxtq+AFUqNGDUFkNPglNWjQQOcngNmZCtgQpQVvHsZbKayw3HTTTYK3pYMHD9Z2zcuWLZPOnTtLu3btvCl4DFKNHTtW50GaPXu27iP64v5DbgkW7xLAgwH+8/dDadu2rfZjxEsH+P/hXjJkyBDt04d5ihVb04uf0h/4+b5o+jyLRX4/zcUSJUrI0qVLdTTM4L5PnTpV/39drFix4EP8TgIkkEUE6IMUBSRuuPAvuvvuu52bVY8ePfQbYCxxv/fee1Fa8OZhOHuWLFlSr4hBwo8//liaNWsmKmKdDkWMlZe9e/eKinrnzQ6EkQo+YFg9gh8I8s6E+g8kR44cYc7mbhLIOgLHjh2TNWvW6ITFSA+AJMXwa+zSpYvAz69atWqyatUq/ZvLuqvGt6Vw6Q+uuOIK6dChg7HpD2xqfr0v2v3z06ff5+LNN9+s/ZvxQrZnz556BRovj/B/NSxZ7rvvPv3yxU9jyr6QgJcIUEGKMhowoUPEN5R58+bpqDFwkkSBP4GpuQgQec/u17p162T37t1Sv359p1+I2mdihBzknUHeKphEXnLJJbo//IcEkkFAhc7Xq7NIUowyd+5cbV4H5QgFUSJDmc/ogx78B6ZneDkEs2O74B7yyCOP6JV1leZAJ7PcsWOHfVj7bWKV/YknnnD2eXnDr/dFLzPPiGypMBfz5s0rH3zwgbRu3VorQ+D0wAMPaFwwhR86dGhG0PEcEiCBWAko8yqWCAQefvhhS5nXWSo5m3XxxRdbTZs21bVV8jZL+e9YylwmwtnePbRw4UILOZCUb4SlAhpYKmKdpZLGWocOHbIeeugh3WfvSh9ZMuRtUqaRkSvxqGcJqJUW65NPPvGsfLEKpnyOLKVAWE8++aSlTGJ03iMVotfCfrXyrPONqQTUsTaX9HoqubLVtWtXS7251/cKtVobUialQFlq9cxSipKlFCqd8ylkRQ/u9PN90YO4MyxSKsxFG44y7dc50iZNmqTvG3j2YCEBEog/AbzhZIlAQDn0a8VIKZyWyqljbdiwQddWb3cs5SipHwIinO7pQ82bN3eSVQ4bNkzL2qZNG6tgwYLWjBkzPC17JOHeeustnej3jjvusJSZnaUc/gP+kBiShQQSQWDixImWWo3Vv7M6depYUB5UdCpLmXlaytcvESJk2TVwb/juu+/S1Z4yCbJatGih+52uE5NY2a/3xSQizfJLp8pczHJwbJAESCBmAgzzHcNSG0xhENobEd/y5Mmjz0BUKgQ4MDnEppolot5GaTMf5HJCUStlOn+QqaaD6EORIkW0+RK2Q5Xx48fraH2hjnEfCWQ1AeQ3gj8fol/ifoGw0QcOHNARqrL6WoluD/cQ+x7ol/QHfr0vJnpuJPp6fpiL8FlEGoBYi1rRjbUq65EACaSTABWkGIHBOfLHH39MU7to0aJicj4T+EmsWLFCJ6ML7hxCEptcEHUQYVDhT6VMMnQCX/thzuR+UXazCGAe4jeGJMbBBeG+MTdNK/BDUitDOogLfCHgNK7MkXU3kIgawSfy589vWrccef18X3Q66ZMNP81FRM1FcKFYC/ygWUiABOJEQL11YYlAACZ18DVS+EP+3XXXXRHO9vYhFbXOypkzZ8h+ob+mllOnTlnKYdyCGST68eijj1pLliyxbrzxRkspuaZ2i3IbSGDEiBGWilwX9jf27rvvGtgry3rhhRcspQBZ06ZNs/B7g6+VirZlqRD6lnphpH2PjOyYEtqv90VTxyOa3H6ei9H6bvpx+GOiKCsdSyW/1b7epveJ8vuHAKPYRVE8x4wZo2sgPxBymdgRqOzTVHADe9OoT7zhRbhQ5GJBaG8VsMEo+SMJi6hZyDWDsMPffvutroqIdn/++adUr15dYPLEUN+RCPJYVhBQ/03I888/L3feeafAFEb5MKZp1tRVFr+mP/DzfTHN5PPJDr/ORZ8MT8huIIE20qRgxQyuCrBWQY44FOQsHDlyZMjzuJMEEkmAClIU2t98840OsQklwk8F/YJP1f333++nbumwysiDpCL+SOPGjUVF5NP9g4KEHCfIi4TknDfccIOv+u2Xzqg3inLVVVfp/zSRi8vkApM6mHiqFUzt12dyX4Jl92v6A7/eF4PHz0/f/ToXYZYbzdwOvtAmlnAJtJEvDiHMVRAOo/LDmTgGlDk6gf9LyBG9XsrWqFu3rqioU77rf61atUSZD4o7Z4kfOrlnzx5BLiSsFAUXZU4olStXFqwGsiSfAJL6YoUPTsnIEaTMtURFENOBULCNhwNkjFchv2XRokUhfQCT34vwEmB1CP6Jfrx/XHnllaLMAwUKxYQJE3QOtTPPPFPfU8aNGye33HJLeDAePuLX+6KHkWdaNL/ORfye4J/o/kOQKPyfjZd8VatWzTS7ZDRgJ9AeNWqUQCGCJYudQLthw4ZOAu1kyMZrkoCbAFeQ3DRCbPfu3Vs/UONBBysSdrQ3uyockpHx2rRSpkwZ7Vh93XXXye233y4qZLkTjcrui736Yn834fOCCy4QmD3OnDnTWT2y5UYkMbxxe/DBB+1d/EwSAQQ8wcMoxsQuMPOsXbu2VpaUL4uo/EE68ShM1eyClVwoS3h4MKFMnz5dkFha2ddrpSE4+bIK/S0lSpQwoSsBMj722GN6lQ9BJmA6OGjQIH0c95Ny5cpps8KAEwz54tf7oiH4MySmX+ciVtKnTJmShgnuh126dJFffvklzTETdvgtgbYJzCljBgn4x50qPj1Rb7d1/iOFN6SjtalBGpAUVr2BCtknu6/xIRr/Vh955BHtNP7ss89ayIXUvn176+2337bUw5yl3sZZyvQp/kLwChEJIOHoFVdcYW3ZskUnHT1+/HjI+kiSiKSjyozGUqtMer7OmjUrZF0v7nzqqaci/sZMDdIA1hizr776ylIrtg56pbzqRLjODsM2/HxfNGwo0iWuH+diJADIz4hcasqvNlI1Tx7zWwJtT0KmUFlCwNxQZVnS/eiN3HfffVaFChUs5bxrqZCaFrLHu//wAGdi+eCDDywV8lpn5lZvdAL6ZPfPxH5BZjxQt27dWvfPVvbwefnll1tLly41tVu+khvJfFUAlHT3qVu3bpZyyk73eck4AUlh1YqR1bFjR0v5IoX8jdlRnJIhH6+ZloCf74tpe8s9phJQ/kn6xcvOnTuN7IKfEmgbOQAUOiYCzIOknpwjFdjSq/DQ0q9fv0jVjDsG+184wa9bt8442WMVWL1lk++++07nn4Gt8zXXXCO5cuWK9XTWSzABdcdyzDyRTBV29jDZgg2+iQVBGmBbD18/mG75sfgtP1wq3Bf9OA/RJ7/NRfVSRT766KOA4UJONQSlUBYR2rQV9xZTi58TaJs6JpQ7iEBMalQKV1JhKC0VhtLC22A/la1bt+o8QTBx8lvZvn27flsfql8qKIC1a9euUIe4L4kE3njjDats2bJags2bN1vnnXeefkMKMxKY1plalM+UhXuI34pf88P5+b7otzlo98evc3H27NmWeqGX5k/5/FnKV9NSLzdtBMZ+Ioca7vdYYYeFDlfUjR1KXwrOIA1BCmPwV4SDVuZAOogBVpKKFi0akAtJPdTp4A3B53n9O5zFkZ8FwRkQVhNhsINzIcH51cSCMfn+++9DOr/Xr19fnnnmGZ0jycS+QWZ1J3JWWtavXy9K4dMBD4LHz5T+/fTTT6JM53TwDPRt8ODBcsYZZ+jgKIhih7wYpkZbbNmype4bgoMgeEFwLiTlI2fk6pJf88P5+b5oyv0gvXL6dS4iEisiQqrExcYEpYl17LAS9uKLL+o8cYg6i1QICBaFwDxYHStdunSsTbEeCcSNABWkKGhhcmFH2oLJVnCBcoHodqYVhFdW9vZa7Pfffz+k+CYpSHioRnQzFPUmSpBnITiJL0wTsKwPZdDEolYxpUWLFoJIfUOHDtVRCB9++GHdFURTRJJLExOPIj9VyZIldX/QGYR9xUMBItZdeuml2hQUv0H027TSv39//eIBc9Oen+4+4EHARPM7v+aH89t90T3X/Lrt17moVpDkgQce0C+HgqPnmj6WTOZu+gimhvzZU6ObGe/l8OHD5dChQ2H/xo8fn/HGk3gmVlIi9QvHTCpQUuFfZPsYIeeR/R2fCAsNxeill17SOVtM6pstK7KOI9t4jRo1BG/gVIQ0adCggSAktjJJE/ynY2I5ePCgFCpUSIsOn7jdu3c7YwRlF6tJweGxTeknFPJIvzO8YDGx+DU/nN/uiybOrfTK7Ne5WLBgQY3CtP+Lo40frASQzB3PTvjESzAUO5l79uzZtf+p3sl/SCCJBLiClA74cBxHIlIkpsODmym5WKJ18ejRo6J8kQSrEFAsTOwX3sIj9xEKzJZGjhwpRYoUidZ1o46r6G3SqVMnufvuu0VF45MDBw5Ijx49BLloWrVqJe+9955R/bGFxe+pT58+smTJEoG5DFb+6tWrJyrksgwcOFAnRMyXL59d3chPKLRwuoayh6AT+J2pKJJG9gVC+zU/nHtA/HBfdPfHr9t+nYtIaq6i6OogUU2bNtWr7MH/N/fs2dO4YY01mTvcG1hIIJkEqCDFQB9JHlXeFtm4caN+y4EHHUTXQmQ7lQcphha8WUWFCJXu3bsLklmiwNRp8uTJ+iFO5RAy5q09HqTffPNNnZATqyvwFRs7dmxY6PjPxkSzJpgI2ist8+bN0+ODJKQoUNhNVSKQHLZRo0bajwp9GTZsmJxzzjnaTBLmdlB2TS1+tbVHhEEo7IjUt2bNmjTDg/uiiQm00RG/3BfTDIpPd/h1LuJ3Zb/0C5UwFsNpooLEZO4+/SH6sFtUkKIMKmzS8fAGB8KGDRuK7a9TrVo1/SYfyhOW+E0r8GeBWZqKIiMw3erbt6/uAh64H3zwQf323pQHUyhIcPjEG3koSFi2P3HiRNghgbO8iQoSVlpUYlHBm7UJEyZoMzS8UUSo13HKmVclxA3bZ68fQL9++OEHOffcc8W2t+/cubMMGTLEWMUPzP1qa4/ANQhYM3/+fKlUqVJA4Br0G2YyJhY/3RdN5J8Rmf06F2+99VbBKqbfCu4NeMZ44okntEXOr7/+KipaqcDfGy4NMC2EqSsLCSSbAPMgRRmBNm3aiEqcKiqxmXzyySc6+hlWkFDwQApzIDjMm1bmzJkj6BsiiOGhFH9Q9rAyhk+YbCE6mslmQKaNSTR5Me9UyHn55ZdfdDS0ZcuWCSL2YbUFSt+MGTMc5SJaW148rhIWi0qAqJX2YPnwksK0Alt7rOpNmjRJv4x46KGH9LghoAjuKcWKFdNjZqIpiV/zw/G+aNqvTMSvc9G8kYhd4uPHj2tzcfgh4T5pF5XMXb/sQwQ/FhJINgGuIEUZASgQiCQTqiBE9ogRI0Id8vw+JNWrUKGCVoyChUW/YCeMB/ISJUoEH+b3JBGAM+uPP/4oCO1dvnx5yZMnj5YEZmhQnExWZhFyHv2A4hCquP8TDXXci/v8bGuP4CAw//nvf/+r/am8yD8jMvG+mBFqyT3Hr3MxuVTje3W8WIYZPAINMZl7fFmz9YwToIIUhR0CFyActh1O2V0dOVpMDRkNxcd29Lf9Wuy+oV9wJscbbhZvEUCuIyiwCBiiEuzpgCEIh22ycoTw5FCO8B8m+mJqPqfgmeJnW3u/5ofjfTF4Fnv/u1/novfJZ15C/N74EjbzHNlCfAhQQYrCFbay8DGCyRnMmFSmZx1qGUvDCxcu1A92UZrw5GE4UMPXA2/f4OiJfuHtKR5UYQeM6Dl2yGxPdiBFhfJjwBDkMcGK2P333++rUfWzrb1f88PxvmjeT9Cvc9G8kQgv8Z9//hkxcFLwmXguKVWqVPBufieBxBJQpissUQioG7B1/vnnw1DW+VN5WSzlSxDlTG8fXrt2rXXVVVc5fbL7p3KzWCo6lbeFT0HpVFQjSymtljJHs3r16mWp1UtNQfnC6TFUypORVFR0SN0v5VtlpPyRhD527JjVunVrS63wBfzOlK29pVZwI51qzDGV68lSwWy0vCo4ijFyhxOU98VwZLy/329z0fvEY5MQ93b83xXrnwqGFVvDrEUCcSTAIA0x6qNI1oY33du3b9d5TJRiIYULF47xbO9Ww8rR6tWr9eoRVozgl4SVMhbvEfBrwBCQhnkdohohWiRMCINNBhHgwOTy888/+87WPtRqJiItmp7+APOM90Wzfm1+notmjQSlJQH/EKCCFGUsEYISikOoHDNwwoYvCB4KTCuIIoOoYUhaGVxw7KuvvtKO/8HH+D15BBDCHAFD4A8XHFHx7bff1gFDvv766+QJmMErw/wCiWGRhytcUS+Jwh3y9H5EHEQ4bPj0BRe1UqHzWuG4aQXpD6pWraoVWgQPQfoDBHXp0KGDzluFB1YT0x/wvmjaTBTx61w0byQoMQn4i4CZySoSOAbKlEn75IS65KBBgwTHTSzwn8Lb+lAFD9m1atUSJCZl8Q4BO2BIKIlMDhjy2WefaYX8vffe00o7ItkF/4Xqswn7EIZ9x44dIUVFrg/4/JlYkNoAyWChGEG5tQuierZr187YfvG+aI+kOZ9+nYvmjED6JUWOJzxjhPtbsmRJ+hvlGSSQxQTSvtbM4guY2Bwycw8YMECLvm7dOv1me/HixQFdwQMc6t19990B+738BclTW7ZsKUeOHJEDBw7oKGhwhnQXvKlXPiF6xUz5XbkPcTvJBPwaMASrtBUrVpTmzZsnmXDWXB55jhYtWqQbO3nypLRt21bnS3O3jpcPyl/C2CiYfkp/wPuie2aat+2nuYiXrkguHWtRPo6xVvVUvSJFigiSMtsFz1NYgcbzFl7cIlksCwkkmwAVpBAjANMRRHiD+RwiUSHLM8zs3EUFadDKBuL4m1IQPhlvbj766CNt8gM/j+B+YR/CpiJqX7AfiFf7CYXu6quvjlk8JO5s2rRpzPW9UhFv2/CGvnfv3jJhwgQtFt7eYy7iodzEZKroRJ06daRHjx6ydetWwSqZ6aVx48Y6hL7dj5w5cwb8zvC7QnoA5H4yNWO8vZrph/QHfr0v2vPP759+moswUV2wYIF+wdK5c2df3A9DzT9EAQ5VYE2ggtpo0+NQx7mPBBJJgD5IUWj/73//k4svvlibk0SpatRh+BhNnDhRXnvtNaPkDiUsVr3w1q1///4CP51oyg8UidKlS4dqyoh9fgsYgpUUJByFuZmKoKiVh+BcSI899pgRYxMs5B133KF9cvDG1E8FK+rwMUJodgR1efPNN2XMmDGCBx/cVzCWJirsfrov+mm+ReqL3+biqVOnpHbt2nqFZdmyZfoFbaT+++0YgvR06dJFv4D2W9/YH7MIUEEKMV54O48lX5g0zZ49W9avXx+i1v/tgo8BHupMKPjPHzb28BFAgAb4fEQqjz/+eKTDnjv2yiuvSN++fQU+VIjGx2IGAQSciGaqCqXQhHL48GGtLNSsWVMr63jBgntJuAJlvkyZMuEOe3r/6NGj9WqmSgngyInVzGeeeUYeffRRZ5/XN/x+X/Q6/6yQzy9z0WYBs0EEf0LwHQTmSZWCl52XqqAv3bt311YFqdJv9tObBKgghRgXvBk9evSo9jGCCQkc4MMVKEcIUWxCef311+XJJ5+UFStWaHvfe++9N6LY7gefiBU9chCheWEeCPtlmBH6obz77ruyd+/emLqicuvIbbfdFlNdVooPgZ07d8oVV1wheLmAVTFEiYSPS7gybtw4wSqTqcUPq5l+vy+aOrfSK7cf5qK7z/DHgYk//DP9Vt566600L47gGz1v3jxtnozUI5UrV/Zbt9kfwwhQQTJswChuZAJQJjZs2CDw1zHFhypSj6DwrVq1KlIV5xh8WiZPnux8N3EDLya2bNmibe/hu3PmmWea2A3fy+zX9Ae+HzgfdpBz0bxBPe+88wQh9d0F93v4fuPFEnL+sZBAsglQQUr2CPD6JEACgpUXmFVMnz5d00BOJCh7yB/07LPP6kAUxOQdAgjiAjPWUL5h8B/ASwo4m7OQQLwJcC7Gm3DWtw/LCPgLFytWLOsbZ4skkEUEGMUui0CyGe8RGDJkiDY5M9XHw3tE4yMRwr0i8huck1999VXtR4YrwY8HfoDw6xk5cmR8Ls5WYybg1/QHMQNgRc8Q4Fz0zFCkWxCY0rVo0UJefPFF/VIs3Q3wBBJIEAEqSAkCzcskngD8QOAD4hcF6YUXXtA22uFIwqzw6aefDnfYs/ux0rBr1y6BY/K5556roxFCWJgM5suXT4ech/OuH0wmPTsIMQjm1/QHMXSdVTxGgHPRYwOSDnFgNo37OgJFsZCAlwlQQfLy6FA2EnARgPIAhc8uUBrgc4Uoi4ULF5by5cvbh4z63LRpkzbXQv+CC0K+7tmzRwcVKVGiRPBhfk8gATiM2yt5fk1/kECcvFQmCHAuZgJekk+Fr1G/fv2kT58+8u233+qgNsFJ6ZEsFkGHWEggmQSoICWTPq+dpQROnjwpH374odPmP//8oyMR2isPiC6GnC2mFkRUDJWY88CBAzpvBhIam1ig+CxdulTQj0KFCgV0AREk4YdEW/UALEn54k5/gPQGUMyxqhmqmJT+IJT83OdtAqk4F5FXDGbHCGJgehkwYIC2CPj0008Ff8EF/ydQQQqmwu+JJsAgDYkm7pHrRTJZgi/IsWPH9DK4R8SNSYz9+/cHrLAg7DeUI1tBwk35iSeeiKkt0yoNHjxYPv/8c52g0zTZYZOOnB/58+eXnj17Svv27WX48OGyceNG/dmgQQOdgNS0fkHeSL8z+FYhbxAUQBOKX9MfmMCeMgYSSMW5CFNxpHGAby0LCZBA/AlQQYo/Y09d4fvvv5eOHTsKkiPirTwiTnXr1k3nW7AFnTJlitx333364c7eZ+LnWWedpR+s77nnHhPFT5fMvXr10qtlyLxuYkHOj9atW8uaNWsCxLfzjCEsrCkFocoxHtOmTdPKecOGDQVJjN2rY3gJAVMTRHO66667TOka5SQBEkgSASpISQLPy6YsATNeXabs8GRtx/Gm/tZbb9XKEDLdI5QyHuSwxD1jxgyBQsHiXQIYJ4RPdheYFcKHZ8yYMUavjlWqVEm+/vprQYJA9CdXrlzaL8lEk8gePXrIxIkT9UsGrF5CUcLYIRiFH5M+uucjt0mABEiABEjADwSoIIUYxWuuuUZ++OGHEEfS7mrWrJl+GEp7xHt75syZI/v27dNO7wUKFNACwiwLIZbvvfdenYPGVD8W79HOeongj4MHb3eBszJWVxAOu2/fvu5DxmwjYSAiGiEABYIy4M8uOIbVzptuusne5enPv//+W8aOHatNAzEmKAhnC/8BmAUhPDGDTXhrCAcNGiTPPfdczELB/JiFBBJNoGvXrvTLSTR0Xi+lCVBBCjH8yMWCEMPIz4JoK3gIDVdKly4d7pDn9m/btk2qVasmtnIEAW+88UYdOvrmm2/Wpnavv/665+TOqEBbtmzRfi0ZPd9r57Vr107whzH0U1m4cKEO7Y0VpOCCfbVU+PKDBw8aMZYIVw7zOShEdoFv1fz58/VvDf5UMIM855xz7MP8TDKBDh066NW9RYsWSefOneWyyy5LskS8PAmkJYC5yUICJJA4AlSQQrBGpJgvv/xSKleuLIiEBnM0P5SiRYtqEyY4hyMPgV3wwD1p0iTtC4G326jnh+K3yGeIGIZAFKb6Gbnn1IkTJ6Rly5YCs09Er9u8ebNAeXAXBDhAoAbM1eAwsO56Xtq+4IILtN8RlL7//Oc/jmh58+aV2bNnS/Xq1aVp06ZGBtNwOuOzDbwwggJbu3ZtWbVqlQwdOlS4ku6zQWZ3SIAESCCdBMIvjaSzIb9Vx8oQop7B9AJvr/1Q8ACKJG14uz158uSALuGhbdSoUdK7d29BjhMW7xEoWLCgViigtJte4O8Gfzj4GiGKG3x1sO3+Q50bbrhBm37akQi93m/IDLNb/I5w7/jtt98ckWFCCD8kJMTFwziLdwhgDo4ePVoQLARBalhIgARIgARSmwCj2EUYfzyIwkenQoUKOhFnhKrGHFqyZIm0aNFCR6jbsWNHGrnHjx+vTe0OHTpkfBS7NJ0zfMeKFSukVatWkjt3bm12Vrx4cSeEOboGpd5t2mVKd+FjBN+q1157zRSRI8qJFTGsjs2bN0+v9l1//fUB9eHfiCiRa9euZRS7ADLJ//L/2DsPeKmK649PNP/EaBQbWKIGY0MCqGCJ2FAjFiyoGCxIFMUKNiyg2EFQEcWIXcSOYkFNgKAIgmIXOzWiqFggMWqsH5P93+/5/2dz33373ru7e3d3Zt45n8++3Xf37r1zzsydmdN+BwWJkGoF06h9X6RtQWNQ+uQwQsyZSioBlYBKoBgJqIJUjLQCOZcFZfHixebXv/51QY4AcgB5i6RQJXckQH0gQiEbIjwXd911V0NfO3UcpYgwNHKqAGgYP358o+0bOHBgo9+7+CXPEeGBhTZnGF+A+CaM10ekPhflrW1KJwGrUICAOXPmTMnt69ixY7ofO3QWxWIvvPBCs2TJEkP7R4wYYXbYYYc6LSQywsLp1/lC/6mqBAiVLmaMsc7Rd0oqgVpKQBWklNKfNGmSAaEKxLeQCCCDRx55JJg8q5D6JmReAAM5//zzDV4xwENAUWyMPv/888a+dv47ijtS5JFaJkruSyDEeRGPJR5oQIhAhdxzzz0l5JPewFBx8803u98x/99CYPO7du0qfBCGC8LnokWLJH+sX79+eT5CUZAoer7VVlsJvz562lHKCTlGoUWJbUr5IRLCJwCs/IDTD0FJQBWklN1JWBru+gcffDDlL/w47fHHHxelD4t2Y2h9fnDTeCuZpFFyyTcIndfGJaHfVlsC5CYRvupz0eJQyx8UGgshzoudOnUS8AnyT99//32BnUdx33jjjQ0FmQknT4aDFpKNC8d69Ogh+ZiEsULM7Wy+yRseO3asKIIc91FBYo2ioPtXX30lPAKqRETHJ598YlDcjz76aPE8A1xDziagSr4YXiiYTTkK0ElJXVBSCbgsAUWxc7l3tG2ZSmDq1Klmjz32EBhfNgVsFOKQ55neTC+mEghMAqGWPwismwqyQ+2m2bNnm9dee00UIjy4zH39+/cXYxFIpiD4+aIgoeDhDbMEiMsll1wiqLN4w0Awpe6YbzRv3jzJL0UZsoRxBVAXolhQLPC8X3HFFXVyhOk3YOoBYXKZTjvtNDEyDxo0yDz22GMuN1XbphIwqiA1MgimT58usMqcwoRMXSTyBiCKc+Li95GAVH711Vel6a+88oq8kwNikcJAuwOWODQC1IDwiz59+hhCFt58801ZjELjU/mpvQTI73j00UfzDcFDS5FY+4y1b9/eu9yjUMsf2E4KeV4kzw8vS6tWrYRdNtsYi6wnHdj9Fi1aWFE4/47XhBzGeDgdjR46dKgBfAgPEx4x3+j66683LVu2NM8++6y8kz+FgmRp9913N7xYv5hj6LcXXnhBwndByOzWrZs91cl3xtvDDz9s5syZI+PRzodONlYbpRKIJk2lBiTQpUuXXPRAyysaKTle9v8oubqBX7l/OLIe5vmIJqg6fMFfBEPsPhPaQpWAwxKIABryzxjPFHMHz5qdP6KNnMOtb7xpUTJ8LjKg5JYtW9b4iZ59G/K8GG2oc9HGOxd5H3JRvo6Mx8iDnuN4ZByTsRkVOfamx+AhCpXOHXvssbnI2Fen3VGIWu6AAw7IRUbM3EYbbZQ75JBD6nzv8j833HBDbsyYMUU38dRTT81FtRuL/p3+QCWgEmhYApqDlFJH1hyklILS01QCKoF6EgghB8kyFWL5A8ubfQ8xBwlksKOOOsr8+OOP4oXAi4TXYb/99jMnnHCCIezOJyLfCI/RSSedZMhtiRPeFXgiHylSkPKRH/Fz9LNKQCWgEmhMAlootjHp6HdeSIDwkTPPPFPQ0GyDWSCBMicUwRIbO2CVQUBSUgmoBEqTwPLLLy85ETZcq7Sr6K+qLYEjjjjCfPjhh5KHxBxI+BbADaDb+aYcITtycZj7zz777HqiJBfn9ttvF5TMXr161fve1QPUKUTxixMInp999ln8kOQjsZYpqQRUApWTgCpIlZOtXrlKEgDl56qrrjJRiEj+jsRwU+fp73//e/5Y5EiVzQCLqpJKQCVQvgTwQmiydflyrNYV1lprLSmC++6770peLbm0bdu2rdbtM78Pntm1115brltoLG633XZeleYAhCEKs6sjp3PPPdf84Q9/qHOMNQzFVkkloBKonARUQUopW2oP+FQnIiVbkqiLVTHKjUj7Ez2vihIAWnnFFVdM9fLJUlpFETpxK+B5Q6uhhmBBgqRgZ2gEgEFo8yIe9Msuu0wAhkDxxGtEHbIo19ZEeafed2GoY9H7jlEGVAKeSkBR7FJ2HDUHQiQscECiKrkpAYVWdrNfim2VPmPFSqy254c4L1Kok7pHxx9/vITZIWG87NTb6dy5s4mARaROUm0lr3dXCagEVAJuSEAVJDf6QVuhEigogVChlbFks2FLS9RxUXJDAqGWP3BDupVpBeHFEfqgAagBT2aE/iY3QkECJhoFHhj6HXfcsTINqNBVdSxWSLBVvOyf/vQnM2HCBEOdQiWVgEsSUAXJpd7QtqgECkhg0003lcTdiy66SDY2IRS3xYoNghbFDU8++WQp3luAdT3koAQuvvjifI0ZC4Jy2GGHSUs7dOjgbX04B0WdWZM+/vhj869//Us8RcmLAtZAwv+sWbO8U5B0LCZ707//8VzOnTvXv4Zri4OXgCpIwXexMhiCBKhA3rFjR6kUHwI/KHlTpkwRNLSXXnrJjBo1SsN7POlYlFpLoZY/sPyF8g6QwS9+8Qux1FvvkeXtk08+MXhijjnmGHvIm3cdi950lTZUJeCdBFRB8q7LtMENSQCvRFTAUr4G2Q7ae++9TVRQUD4TZuIrWWhlX9tfqN30y2233Wa22GILc9999xkFmSgkJT2mEihfAoDwoACBiIY3KSryKwaJW2+91dx4441mzTXXNHvuuWf5N9IrlC0B+uZ3v/td/jqLFi0y3333XZ1jcXTW/In6QSWgEshUAqoglSHOqGK3+clPfpLfgJdxKad+CtoRr5/97GdOtauhxpBQ/fvf/77O1yuvvHJB8AnOA+pWyQ0JED5IDkRzQ1FEWWf+QElsbry7MfKKb4Vv82KSwyuuuELC7C688EJjjUUgs26yySbmwQcfFHS75G/0/+pKYIMNNjC77LJLnZsStpok1rfWrVsnD3v5/+677y4KupeN10YHLYGfRBOlv2b1GncNyHYoSECmUtwtFAscnhgWTkK6UCguv/zyGktab68SCEsC5F8BJf2b3/xG5g8gin3MLaOIJUvI6quvHlYHFeAmlHkRj8Rbb71l6DvWLkoJ+GIMK9At+UPNaSzmmdYPKgGVQMUkoB6kMkTbt29f06ZNG0OC8tixY8u4kls/3XXXXWXBBF1mzJgxUq2cgoKuEuEHzzzzTMHmkYCMpW399ddXS31BCblzkFpBjzzyiDnzzDPdaVSFWsJ47Nevn+nTp48B6ODNN9+UejQVul3FLhtq+YNCAvNtXizEA8c23HBDeTX0va/HQxiLixcvbrAmFV4jFFofDSm+jiltd/OWgHqQmnf/B8E9iwpwtY3Rz3/+c9OzZ0/xjPFZyT0JPP744wJBTCiThp251z/aIr8kQH2j22+/PXWj99lnH9mAp/6Bnpi5BK666qomDUR4a6mP17t378zvrxdUCagE/isB9SD9VxZNfvrss88kwZWk8u+//96EstH++uuvDdZ7wn3wuPjGFzlFoDAVoh9//NHQb7NnzzY33XSTQZmKIx8V+o0eUwlkLQGUvvfee09yjtZZZx15zgjPVXJXAr7Pi//85z/NWWedlVrA1ELCQ6FUOwlgxCPksRB9++23sv947LHHzFFHHSUFfimRoKQSUAlURgLqQUoh1yeeeMKccsopgtWPp4KNDkrS4MGDzSGHHJLiCm6e8uGHHxrgox966CFpIMny5EKQOH7JJZeYFVdc0c2Gl9gqYKXJE6P/mvI4lXiLqv1s3rx55uCDDzZ333231DCp2o0zvtHChQvNq6++Kld95ZVXDInk48aNk9w+DmLVtsiEGd+6KpdDMSKHb9iwYZIgT/jgfvvtZ84//3xzyy23GEAqlNySQHObF92SvrYmjQQI73/jjTcE4CbN+XqOSkAlULwEliv+J83rF6+99prZd999zW9/+1szYMCAPPPAcP7hD3+QYpf5gx59+OGHHyScaf78+eKut8rQTjvtZIB+RXEKjbp27Sqb7YbylXzil7yrt99+23zzzTc+NbteW//6179KDh95fFdeeaV8f/jhh+ePAUnsMw0ZMkT4IsEftCYI5Zzwp86dOwdT18rnPoq3vTnOi3H+9bMfEsA4hmEJL6fvNHDgQMnlBtVTSSXgkgQ0xK6J3qCAJV4iLPVs5oBDhQjXAr2JvIkkxHQTl3Tia1C0PvroI0kIbdGihQH6FWLiXWWVVcwf//hH4S+0MCB4W7JkiRN9oI0whhARGyZic5BYKEPIQWJ+GDFihLnnnnvEGGELdKIg4a0lpOm5554zO+64Y1BDwefyByHPi3vttZfU02losF188cX1IKYbOteX4z6PxcZkzDpG+Dg1k1ZaaaXGTnXqOyIGli5dKt50lDuiBu68804BUurevbvkCZNjRVFjeATi3LeQf6cEro0pSwLqQWpCfHhYdthhh4JnbbPNNubZZ58t+J3rBxcsWCBeMZSjJMEXlntC0UIiFEKUo4ZivEPiVXmpvQR4hv71r3+JpyjZGnL9ttxySzNr1qzkV97/36pVK8Nr2223FaOSTwyFPC+Sq0n+m31RHJbxyRgEGY3/QyOfx2JjffHiiy9Kf/kSKk6oMeHS1NzCc040B8ZYwvsJqX700UdFITrxxBMlBBmjM/PHuuuua1566aXGRKHfqQQqJgFVkJoQLcAFQA8XIh5sXyaoZPuBekW5w5qTJPgiDwkLdyhEjQy8YvDVqVMn79lae+21JU+MwoJKbkqAPsISOmHChHoN/OSTTwRYxNf5ox5DsQPkR+A5e/rpp827774b+8b9jyHPi3fccYe577778i+iIV5++WUzadIkw4a7ZcuW7ndQkS30eSw2xCpe58suu8wQ5u8L0WbGGfncgIegmOMBe+edd8zOO+8sY4+xiVeJ8HG+p/QB8+Po0aN9YVPbGZgENMSuiQ495phjJISOzfXmm28uNUsIw2CxeeqppyTErolLOPn1brvtZtZbbz2x6pxxxhnCF9ZTwpxuvPFGQx6IL8UDP/30U3PggQcWlDOTMEnXbEjtZhXXve+ENZhE/5CIwqn0VQjhdfQLfDB/nHvuueKRJRxm+eWXlxw/njEs9qEUl46PQ4A2LGER9olCmhfTyp3cOJT5yZMnBwcd7dtYREmg/mAhQnkgquPLL7+U0DOKuftC5DifcMIJqdIRCKnj1a5dO4E8Z31XUgnUQgKKYpdC6rfddpvApeKFsMQDT8y2z0UtQcEBLhQI7DgRC0z9DJeLw8bbC4w3Sf6FCI/RRhttZDbbbDNJkmfSVVIJVEsCQPOedNJJYlAhJ8kSoSZjo+LShJv4TPBk8xSx+BLG2qVLF7PCCit4y1Yo82LaDqAPKaYNMM/pp5+e9mfOnRfCWHzggQckv7mQcCkUyzrGi/C0QuHxhX7n8jHbZ5RNmTlzpiH/qGPHji43WdvWjCSgClLKzv7iiy8ENeb999+XGO6tttpK4uxT/tzZ0/7zn/9IoiTeIzxGoPXhKVNSCagEspPAokWLzFtvvWUwslBrhjw4Xzy0haQA2tuRRx4pngeAbPCIWW8RYcnkDbDZ8ZVCnBdvuOEGk0QKI5QJzxHh1iTMkxfnG4U+Fn3rjzTtff311yXknYK3u+yyi3jSicyBCIv0yTuWhl89x08JqILkZ79pq0uUAMmibFJDTEguUST6M5VA0RKgthPhS2y6sWaT+A+4C/XTjjvuONn0jBw5sujr6g8qJwEiAvBoxgmwEEKtzznnHHP00UfHv/Lmc3Mdi4SNExrpI5EHTLgxdRcxOgPKcM0114jxiAiWGTNmmO23395H1rTNAUlAc5BSdCabAIAa8CKxwY4TD/bw4cPjh7z5DHoRkxJ5H1jhkkQCr09EcicTK6EIhSZXQgmBWqbugs8Ffn3qk+beVkBQSKimZgk1qwgpiRObO1sfKX7c9c/UEiN0kFpwFuyF8Cw2PuRrjh8/3nUWGmxfaPOiZRSrPIisIYHvwFuIYxHlB75Yx5L9xRxSKOzf9rPr78yDrMXUmMSbft111wmKYv/+/SVvE/AJPNCF1nDXedP2hSUBVZCa6E+q3bMRwDrapk2bemExxG77SB988IGhLgZxzExEvgMXzJkzRxZ/mydGmCCbNEIGCSsZPHiwueqqqyT5c/311/exIiLppgAAQABJREFUy+q0mcXz0EMPNWPGjBHI1Dpf6j/OSOCII44QpR0liM2AzdexDfQ1j+Af//hHHvWMEC1yMikyDZFP4Ot8Etq8aMcZoXSERKKQh1YEPLSxCEjDKaecIl2HlwUAIsAbyKfF20Le8PTp0yUXyfavT++g2KHkAcEOgW4HQI8F58HQ6eu86FM/aFubloAqSE3ICM8RISS2QGwTp3vz9dSpU2VCIiF5tdVW86bdDTUUqzWeI2KaCZ9jgcEiRb/RfywoIIaRK+GbUgv6GTksX331lYTIkAh/5ZVXmvbt25vjjz/eDBgwQOpFwD/oP23btg0mhBCPLS8f83XoL+Lq2dz07NmzoaHr5fEtttjCkFBOkVsKPfJsMfYwVAA+QZidjxTavGj7gL5BaWVzGhqFNBb/9re/CVAGz9NZZ50lUNfM7xhqme8POuggiWQBwfS8887zsisJxwVS/vrrrxcDJrUmL7roIlGaqItELhwKk5JKoOYSiDR5pUYksPfee+eih7eRM/z8KvI85CLvip+NL9DqCMI7FykN+W/+/Oc/5yKLWy4qSJeLFIcc/PpIUQ2IXKQcEJeVf0WLSy5CUBR2hgwZkos8YvnvOC/yUuSGDh3qI7v12hxttIW3CNkod/bZZ9f73uUDUUhuLrKK5qJaHy43s6S2RQp7LqrBJX0TGVhykWIk1/nlL3+Zi7ztucgTU9J1a/2j0ObFuDyjcOoc8+QBBxyQizzqucijXucVbVTjp3vzOaSxGJXZkGfqvffey8u/d+/euSjKI8dz1qFDh1xk1Mx/5+uHu+++W9Zn1qvIu56LQvxzEydOzEUes9zJJ5/sK1va7sAkgNau1IgEIne3KBKRFbuRs/z7ikWFxTJC1vKv8YkWR/HasqhElqf8N/DH5BtV4s7Nmzcvf9y3D5G1LRd5w3KRFykX1b/IReGCBVlggYliu2VjGuWC5KKQp4Ln+XYw8r7k+vXrJ82O4u5zUQilVyxERRBzF1xwgVdtTtvYKOE/FxUYzUXhW/mfTJs2LRchwOX/9+1DSPNiUvZrrLGGzAvMDYVeDz/8cPIn3vwfylhkvxGhQNaRewSGImtZBF6Qi8JX63zn8z+s21EeUn6+iOodBbEf8blPtO11JaAhdtEuujEiYRCQBnKQAGSIFpk6p5OXtP/++9c55sM/1CmhGCwQm4T/gGREvHOcIot9/F9nP5PzABFiZsnWcLr00kvNpptuag97906eGOFKyXGXZAQ0KotIRc4cYXnkXnHMZyLPihfUp08f71ghB+nUU0+VivHkw5GrE6fImu9tLgFzCPMidcgWLlxoCHUinzGZZxXn1/XPIc2LSVkzJ4RKoYxF1rL4OkZ/sZaRf0S+qY+hxg2NOYqdEw7/7rvvCn829K6h8/W4SqDqEqirL+l/SQlEOR65KHa7wRfubx8pSqxukCfLry98RYmrYmGLh4jgaYgeptxTTz3lCxvazgAlECUiN/qcRTmO3nI9ZcqUXGQgkufs17/+tfBBCFCUm+QtTyHNi952QgkND2UsjhgxIhcZGupIIEIfzEWKRJ1jvv/z448/Shg4Ibms02eeeWbu6aefzuFx9zniw/d+0fbXlYB6kJpQSUnq5xUakQQKbHnoZJFxfOUziseWxPc07e/SpYuJwrnSnFrzc0jwL+a5ihTdmre5lAZEYSOl/Mz53wDRu++++5r99tvPdOvWLQ9ig8cd6O8nnnhCPO7OM5JoYHOZFxNse/1vqGMx3ik+e2XjfNjPUe6slBgBZIj+gyIjiwARde7c2TBvJiNa7G/1XSVQLQmogpRS0oQrLViwQB5cIKR9LdBWiF2gbQmRwcVNOJqvSgWhgoRaQLZeFQpGEnI4AjAwu+66ayFROHcMhEFCESwBiQpvhN5xHMQfakYQhhF5M+1pzr8TahbnK8qFM7xQ8ghbpQ4IiGIgwQFP7DthjJg7d64gNUVelnqhdr7xN2rUKKklFiVbm7/+9a95Bemmm24SHqNkcy8VpHg/hDIvxnkK8XNoY5F9BkqCJZQF0Afjx+x31OzyjSIbvYk8Zeaee+6R9ARqE0IoSC+88ILUfXruuecEIdM33rS9YUlAFaQU/TlhwgTDRnvJkiX5s1EmiAlmo+orEfvL5BQlVudZYOOKVYeaQb5YrVCKdttttzwP9kOhY3znkwKIpc0SCwo1Z4CCtTUk+I46IFtttZWJQBzsqc6/433gBX388ccCYctmm5wdSxgleO4iFDh7yLt3eACOF/j5KKxE2s/422677aT4dFxJ9Ik5oHl79epVsMnkJaEo+UqhzIu+yr/Ydoc0FqnRhxc2TpSl8K00Rbz9yc/M99TlKqTwkTO75ZZbGhQ/SggoqQRqKQFVkJqQPhb6Qw45RIognnPOOSaKkZUEeGp/RKgyhtCfQg96E5et+dcR6pm0n4kKvgiTIRF0xowZZtiwYZIMOnz48Jq3M00DUBbwNoROKEgoDHHlCJ5XX311qftEYVxbYNAnWeCBIFkX0JA4sViiXLA5wKPko9c2gmM3EVS78EY4GsVi8STxjOHFpKI8NWp8owhpSxS8E088sV7Tx40bJ9bgel94cCCkedEDcWfSxJDGIuGpvEIm5vEIQddgeLbeI8sv8zw1C4855hh7SN9VAjWTgCpITYj+uuuuk7AzNuBxjwqIdhRFvPfee71UkChg+eabb8qrXbt2eSlYFCo8SL4oSIRhYbFmgx3Beud5Ce0D1cUb8qYQkuCjAkEfEQKJd5YwkmTR4ueff14WUx8rqxNKQvhPlIBsUJQsYSHFy0I4K/yBJOkbsYFhDqRAMyHHEbS3FMW94447xGhEiJ2PFNK86KP8S2lzSGPx5ZdfNrxOOOGEUkThxW/woNNn5557rkQPgK5IvtGtt94qeakYy8gFVFIJ1FwCdTEb9L+kBCLvUO7yyy9PHpb/I+Upt/XWWxf8zvWDUchPg22nHkE0MHNRqInrbEj7LIrdM88840V7S20kNYEiJV2KO3744YdSXI+CnIxPjvuKHkZ9J+qyHHjggVIEkZomUdhgjqKJoKNFHtxSRVbT39FHjT1HkWLU4NxS04anvHm0oZHilfBoX/RjvGBzyks5c1pI86IzQq1CQ0IZi6DYReH7VZBYbW9Bzb6jjjpK1i07d/C+ySab5J599tnaNk7vrhL4fwmoByl6KhsjPBJYQwvVBOL4r371q8Z+7ux3tBv0GBKRiXuO05///Gex6PjqkYjzEtJn6gH9/e9/N1EhWDNgwIA8a4Si3XLLLRIKmj/o0QfqfkTKrYkUJAOAQZwIb8Ur4SMRCknYKs9T//7967BA7SASkvv27VvnuE//YAXu0aOHefXVV01kpBCQF3LhkiGgPvEU0rxIKGfHjh1Ti58QXp5BHynEsehjP6RtMyF2t99+u6CuAs4TleWQ8OPI4BxUrae08tDz3JSAKkhN9Etk5ZBk8ksuuUTcwigNbG7IQSJ3ArhiHwkXNsVHWViiSt0SJkORupkzZ0o4EAslk5iSWxIgBwlFCeUW5EHCtNgE+RiCFpcsG+uo/oWEfL7xxhuCysdiucEGG8RP8+oziithn+QbYYQg54hnCj4JL4lqgJiuXbt6xVOysYw7XxAhk20v9H9I8+Jmm21mBg0aZC688EKzww47NKn8UMjYZwptLPrcF2nbvuGGGxpeSioBFyXwEzxJLjbMpTaRj0OyOAoEeUiIjIrWAwcOrJNb4FKb07SFvBWQqEBtsnzxO3ILyK1q2bJlmsvU/JzFixdLUjiodSh9TdEZZ5xRDymoqd+49j1KOmhAUVFBGZc+JvoXkunXX38tKH0kXqNg+M4XCIMYIUhIhuxzhsI0duzYguiLheTi4rHbbrtNUBUXLVqUR+iz7UTxw/DiI4UyL1rZjxw5UtYvclt8V4IsT8n3UMYie43BgwdLfbEkj4X+99VACzgUeZnkQQNjntyGRmG6Zo899ijEsh5TCVRNAupBSiFqwpmw2oNo995770lYHUnWPlu3YRtABiaoF198UZC1gMtu27at2XbbbVNIxb1TqB8R5X002TDAAHwlCnCCVEf4DHUjGI/0F4sq4Wi+Ev122mmnmYceekhYIPwMJZ0QNby3wM/7SCAMPvLII+Lxe/vttwWIAiS7nXbayVue6AfCY0CgQpEFZAKDUZyiXIL4v159Dm1e5Ll68MEHxZv02GOPedUXaRob2likNMDrr7+ehnVvz2GtYi3jWaPkQZLSGDqTv9H/VQJZS0AVpJQSJRcJKwfvKEY+x9nHWWbjSXgTSGIUG2XT7StFIAYSSuJr+5tqd6gV44FW3n///cULQb0gvLUQSgTeF+o73XzzzU2Jx+nvMTxggIDXjTbayGvlCEHjEdtnn33MX/7yF6flXmrjQpoXQQ17+OGHBXWVNQwvZkgU2lhkb0EYbqgUATQI4iWodaQwKKkEXJXAcq42zKV2UV8Gqy9hMXiOKO7IhmfKlCkuNbPotlBgb++99xbFqFOnTrJxA2Z56NCh9UJmir64/iBzCdiK8ViD4+EHQJyT7O8ztPJHH30k+W9Yu/EaQQcffLDh2QPkIBmCkblwK3RBwnLPOussecaAwyYkktwjLKgApPhK3333XbCFHEOcF8mdJVcsNOWI5yfksejr/NBYuzES/fvf/w52/miMd/3OLwmogtREf1EIlvA6FCNCZZ5++mlz2WWXSWFLiqsSr+4jUTsICzCbNOK3KRA7ZswYUZhIKieJXMktCbBxI9m6EDE+I3jUQl85f4zQSHIjCgFNwBe5VoQS+kjku6HAUowZgwoeF0IkyQfZa6+9DNZUH4mit4RroQCGRDov+teboY5F/3oiXYuJVNlxxx3F+JXuF3qWSqA2ElCQhibkfthhhxmSkCnomCSKJJJUjkXfN0LZo2I3rnzyCOKExf6ggw4ybBZ8SJIH+ppinCh1Puc+xPug0OcjjzxSElrZaIOgePzxx+cVh9133128FDaHp9DvXT3GRhuPCnlIAIOgKBGfTm7VjTfeKBDZPGfJPBdX+bHtIpeA0NUhQ4bUgWXne/Lg8EITUtizZ0/7E6ff7777binoSyPx6EX1tyQkF89EsiRAmzZtJGzSaYYKNC6kebEAe8EcCnUsTp48WeZ25oWQiDBp5nJLACuNHj3adO/e3bRv31686vY73g844AADCqOSSqCWEtAcpCakj/WajWkhAu3tT3/6U6GvnD8GX3gjksoRDWezzebuk08+8SIniYROEnUtEW9PbR3C0AjdIjepX79+kgNiz/HxnXwcxhyKOeFa//nPfySWmzpBeDp9DbEDfXC99dYTjyYeF/jCqwQ/LKpAZfumHDG+UIII/yk0f2BFBcacjYIvhIcZoJo4gYDJK0lsfMgr841Cmhd9k30x7Q11LOJV5gWxBhNWjSGTvGfm+GXLlsn/xcjKhXNRkAjdjxPGI3jilSTKV6iClJSK/l91CUSWQKVGJBA91LnIQpr78ccf65wVbeJykZclF+UX1Dnuyz8RolYuQtjKRbV06jU5KhiYa926db3jvhyI8qpyxx13nDQ3qusEjH0uWlh8aX6j7QylYnySyQi1KReBhUhf0V/2FW20c1ERweTp3vwf5RzlIiNKvfYuWbIkF3nLcpFnut53PhxYunRp7osvvijYVHiLAEUKfuf6wZDnRddlX2r7Qh2LERS2zIORN11EE4Xmyl6kVDm59LuosHQuUgALNom5IzJsFvxOD6oEqikBbz1IWJmJ46cCM8X9LBHuNnHiREOxyc6dO0ul95133tl+neqdiuJYEqHll19e7gNAAzk7xM4SegZyDlCcJ510UqprunAS8po+fXq+KVhpcG8TIoPViiKWr776qgFdhsRyJfckgBepR48e0k/RImPWWWcdQSH0HVWxQ4cO8pzhocB7hMeIvCQ8ZT4RcwM5R5Z+97vfSc4RFm/mD5458qnI+4NnUDF9JEof0D9nn312veaTozlnzhzxbtb70sEDOi862ClFNCmksVgE216fSgguZQ8KFYllP0eNJELIlVQCtZSAlzlIuJkJuyFPgTAqiyZHQTwmyzgBcUpceTHhHigMLJpp6MADDzR33nlnmlNrfs61116bh1BO0xg2ez4SG1EUWjaqzzzzjMBFM2a0toKPvelXmwE9IbcoLTF3MIf4QADSXHrppdJUDFCg8SVDdAkL4jzCglAKfaDmMi/G+4LQcIx8U6dOjR/25nOoYzHeAeRd8oyxzyG0+tRTT5W6hYVC0uK/c/UzxV+nTZsmzSOHFsM1Rtk4UVibGniTJk3KhxrGv9fPKoFqSsBLDxL5JEwaEJMIhEJDor6l//mf/5EYXjxNvXr1Em9PIWuFPT/+bh/i+LEQPoOexUvJXwmEUjE+2QN4jq6//noBDaHKepKoAeUDoZj7alhoSr4UdCRX7LPPPjMYnvCuJ3PDqB/Uu3dvc8EFFzR1OWe+b47z4qeffirFpp3phCIbEupYLFIMXp2OkTqOtMoeLT5/AEFPHUbKO8SjgrxiUhsblAS8U5CinBnzwAMPSCcQVsRiDN1yyy35WimDBg2SBfq6666TUDE2LCg9aRUkueD//yGMjtolhQgrKohvPkJi/+1vf5N6TliokoS88MT5XpwzyZfv/4dWMd72B0AaADVAWErbtWtnv/L+vbH5g/781a9+Zbp27eoFnyhFdk646qqrJHEc9MGQSOdFP3qzOYxFP3oifSsBXcBrCYFSx1xCTUkllYCrEvBOQXrrrbfyihCuZuLgIVyyEBbM888/XxDL2OSzkIPGRrxrKUTYHnk6ce9UBNhghg8fLuEmvkD0JnmfO3euOfbYYyVfK+7mfvLJJw15LliJ7WYo+Vv9vzYSCK1ivJUieXHU04mS+00EHGIPB/FOuCe1j7bccss8PyiEEYiIPHtAnPtIyVDmJA/khlJ02jfSedG3HjP1wuqTHPg6FpN8hPT/o48+2iA7FJGlPhxItEoqgVpKwDsFicR0CMuDVY7eeeedfFX6eFwrLluAGoB9pshmKYSlAyWIekD9+/c3KGjALGMZPu2008wll1xSymVr/psIMcwgS/gDTpncAZRA8nZ22mmnfAhjzRuqDchLAMjoLl265P8P5cO3334reTuhKUf0D/mM5EmiBDJfAcnOvMF8giecIpc+EqHLI0aMECAGwpwjZCF5YTwij6BTp055T79P/DWXeZFSDmuuuaZPXdNgW0Mdiw0yHMAX1Lwjn5F9mS02TT/+8MMPUvrghhtukNp4AbCqLPgsgWpC5mVxLyCoI3nnVlhhhVy0sZJLRgt1HhY48hjVuU1UP0C+i0Lx6hwv5p9oI5OL4mVzUdHYXBQzm4s8SrkXX3yxmEs4eS5Qm1GStUCHRrG/uchik4vyQHLRROVke9M2CkhvCw0dTb65aDLORVaptD939jzgoiNUtFykKDnbxlIaFtXRkbEXIZ+V8nOnf0N5gKgOUi4y6OSAn2fuigwsuai4sdPtbqpxzBPwAox5hEiVi9AGc1GoYC4CQslFeVi5KNegqUs4+32o86KzAi+zYaGORdZh1i4730d11XJAmodAlE5hLxXlGuWiqJ9cZESStY19FuVTKBWgpBKotQS88yAR7gZhTSd0BUtYvEJzHBHqoYceyhdiTKItyUVS/iHOnoTkQw89VCz43JcEQ9+J4nNPP/20WLmjDZt4xcqRkyvysGh10cMlSaBYSgnHxEPRsWNHV5qZqh3JivHz5s0zQEfjmVh77bXrXAPo1GLQGuv8uMr/vPTSS3lEI26N5Z7CxdHiKLmCP/1p3ampEJx0lZtc0u2YN8aOHSthq7yTF3nyySeXdC2XfgRIDt5nwj4BDuEdTzThzOSTYQn2lUKdF33tj6baHcJYxIuCVwUUTAA0CAvkxT6HZ4mwMwANOC9SkqREAGs1ZR4AhuGdiBkfCH7Yd9x1112CRkyJkSOOOEIKalOiBQ97ixYtfGBF2xi4BLyD+SYUrHXr1pKvwIRAzpFFskNZIoeGGkYoMzNmzJDuY5NCaBwbyDQE9C75EEkCmpJrnnHGGXnIaK5J1XgfKPJ6FaxaDa/AvkYWboHetLwMHDjQfvTqnfBHwiCvvvpqs8suuwgiDuMC6tu3r1e5VWw2QXhLQ4xDQrh8IMbb4MGDUzc1Kkqa+txankjFeND4kkT4yDXXXCOhdXEFCYOOjxXjt99+e9nUgCjKvMLcAZQ+czKw2aBV3X///UkxOPl/c5kXnRR+Bo3ybSySX0O9QZB3AXoiP3rx4sWGOQLDK7l75N8AoMTaTCg8YbrMLSgWhLFCIEqyH8IQGEXUSI01wnjJd9x6660lbBkwC9cIRRClDkUQoC1qLgIMZQ3dhPgDaU69PyWVQC0lUNdMW8uWpLw3Ewg5RWx8saZY5YgHjU0XBEywVY74n9yhtMoR56MgNbQpXWWVVaSQKudBbEp9UpAuv/zy/2t44u+qq64q9UuoL2HJVwWpT58+Ym1jEga9EOWIzenGG28sfXX00UcbFlUfKF7zgg0oVkTGYJIwCgCs4QvxTPKCyEGKwkfECppsP9+xgfWF2MQ09IzBAxua+PcUwvVRQQIRlIK3EHMreUcAHMAPns0obFK+8+EP4yveJ/E2hzQvxvkK6bMPYxEliHWIF8oRhKGXtoPcideSPYyNfuB7vEkY+gB6QWEAcGqllVYyFGJmXWCPM27cOPEoMf+jZKFMke/I/6wTKBsYjrmHK4hxeLtYxxYtWiQ8M3+wPluinT7NH7bd+h6eBLzzINkuwPrC5IAiAwz3Oeeck99goSBhgeFBPO+884IIabF863vjEsA6h+WNujkdOnQQdz1harZ2CwsGIZM+1oNiscRCWCjcDGUjyuGRBbhxCbn3LSGrF154YcHizDNnzhSvJiGgIYI4uNcb6VpEuCChMEOHDpX5leK4hH6efvrpspnj2YtvetJdVc9SCRQvAVfHIgrA+PHjpVA9G34UIvYqeHg22WQT8SY3xi0RK4ShsX5BhB8DOgWYEvMh/2MsjitV9noYnACvYh0kogIPPLWj8Fhj0C1kZLO/rcZ7t27dDGieIOWi9DFfRPnlojDBF6F28KqkEqilBLxVkJoSGiF1WdVTYXJhEsaKA6GUsaljM+AzFCWu+fvuu082Njb36KSTThLloRiPW1N9Uc3vCUmgtgwWNCzZWOfJO4JPaJtttjGEBaFs+EChVowntp4aZhgziKlfsGBBvQWR8YlXAu8EC74vMfbJcfXmm28a6rfZ/EjykBij9v/k+b78f+KJJ0rVeyziwPYSEkP4D16XKVOmyLPmCy/xdoY4L8b54zPRAeSNMTZDyKd1ZSwSJkdtRPYLs2bNEqWIjT4vPETFEMoVIXXMF9TnIjIC1FyiZ1jfyNsh7w8Foykid5Ww1+eff17ymsgfpJwHikktCG8Xhkq8YxjHjjrqqHx4OPmoGMBdDA+shaz0nrWTQLAKUlYiZeNG8jiTEBYhiARzJhjCZXBnW7jxrO5ZretQoJL282ICZ2Ow4447yqYHCF8sxL4RPOCiP+GEE6RfyEW79957JScN0I4//OEPkgy77rrresEaCy684AFjI4pCjvUxTgAasPhecMEF9YAb4ue59nnMmDGGOkDEoqMIsfDHCYUIbyDKLCEiPhJx9Sjk5C1eccUVwgLhXPQVz9zUqVO93gjgsSUPFGITRk4Fm540mzb5kYN/QpsXUc4xQmCMICQdAx/AGng0yHehjAXeWerh4Vlg0wwMvW9Uy7FIuD+eHuCpmauJVGDO2mijjUoWI/M9kTFXXnmleFQIF8cQwRo3evRoCafjvRgC7AHlA2ALnlVCzYmmAPSnFmT7DJ7gj3dCApVUAi5IwDsFCZQkLDTFEl6EUhDMiPdlMsFjZDcC3BskFhKT2YyzAfeNUPzwsGFB3HTTTes0nyTrQYMGCYoOscK+Ea56LFJYs5lsKSJM7Dc1Z1A2sMj5SMSgE6uO5S0kIgeEzQXjLjQinKZXr151Ck3DI7kCPHeECfvuSWJDiEWb8CE2ij5uru24C2leZDPMnGeLqMMjVnm86iju5IuxOcZIwUbVEsrS5MmTvfQAVnssssYwdwEIRL4kiGwRdHVmkSUYUvAiQUSwEH5GkXq8U4TaUfexVCLHCQ8UYczMU6z5GEirSYxRchkx8pESgTfT10iBaspN71UdCXinIJGYmLQ0pxHVRRddJK7cNOfGz2GDDXSyDa+Lf0dRVRaa2bNnxw978Zl2E9+M2z1JhDQR18xmAWADHwmvBMo01lAmXBZOrKi+evvifYDnkr6BR5sUH//e588s2li8WSxRIHwOsyBPAIh5Yu0LeSyZW3ide+65XnYZhiM22Hj/ojpqstFBSQKd0FclPqR58ZlnnskX/Sa0mE0oRr5CG1AUWzb7REkQ+sq8SZiYL1SLsYj3FwWGeRhFFM9p1sYBPCooEHhkbYgenloQ7LLy0tJ+wvkYL6DlsVcCPKKShGKEJ33YsGHi2UTZQ4bnn3++ueWWW+oZbSvZFr22SqAhCbiHAdlQS2t0HGvbgw8+WPDueLKw6PtI5BhhuWdDmiT4AhqdPAlfCc8emzW7GWBxCUE5Im+A0Bh4AQIcRYLNNxZfn4kkZvjheeIdxY9wQkLT2CT4SFjiW7ZsaQjtTBLKE/kAKBY+Esnf++67r4zDAQMG5FkAqIEwVjy2PlJI8yLKEB5zQr2oK8OG2s6Hyb5hY8/3RBWwWWXu9IWqPRbxlhL2GxWAFgMinm+8wFkrR8if/kJZscoRx9iTZKUccT3WSsKA8UwBwY1XauTIkZJCwPeVoCFDhkjo4PHHH58PqWMuBO6b0GMUKCWVQK0l4J0HCWsHCCdJwmpJgj4ILYWKZZL4hxu5WGKhx23ORu3www+XyQRPxCOPPGIuvvhi2fz4GCJDkjy5LMRIYwXDWs8x8quIeybvygIbFCuzWp9PDQh4KUS48EkiZzyAcFgIAajQ71w4Ru4AG1Di2xnnLGRAfwNL/8ADDwj0K4uLb0S4Kn1GjgSbaxCOsHbjLcbCyCaPxdtHAvQEpCnaT9+waUUZhC88z8D/+jQGbR8AlY8nk/Ai0LbY6GDpho477jjJZxk1apT879OfkOZFNpu33357avHjAfExYqCaY5GQWLwcAAAx5itpIAV9DkWlEKE4oZCxlrEmZLkHwZOE9xAeqemWFdiV5QODF7luhMKzVzv22GMlF45cK+YUDLPMmdUO97Pt03eVgJXAT+0HX96xdjAhJglQARQk8owKfZ88P+3/WN/wIJFHwANsieRx/s9yYrLXrsY7heWIY2YzSphPnECjKlTsMn6Oy5+7dOkiNSNYPFBusUyRa0UsPptUJmA2dii/AFT4Ah9N7hSKLKEdcUswYxSIb3LhfFSQ6Af6h1d8MSaBGD7JvfJVQaI2G0AbIFDFPWF4KjCy+Kgc8ezPnz9f5sRC8wDhXIQf+0ghzYsgP1KEMy0xL/qoIFVjLJKjhSzJ1zrssMNk3YzPwWllXMx5hOcCooEhhZC6bbfdVn6OoQxjBPM+7cIQgefH1pUr5h6FzkUxwYMIkAdK86WXXpop6iseOIxhhdYqDJgYstmbqIJUqHf0WDUl4J2CVE3h2HthrWexYRNK/C9KGhs5Jq/PP/9c3u25Pr1TSBUkGyZXwhQIq2PjhksfvnwlUHrw9t1xxx3iibB8sFllsw0EMQsLdSEIWWPz6gOxESC0o9DCDCgFVj8fCb7wIMWVI8sHfOHRJDei0nHx9p5ZvvNMkdcCgh0WYXLhgNRv37699CNWfh9LBcADCh7wyknCyu5r6CC8hDIvwge5RaFTpcci637fvn0l/AtlwZbEqLRcyb+klhGRKhj9LGFwAWEWIy3eLELlqY2HYZhjWRBzEvcgt4t7oLCwdmZxfTxTICay9uI9ihN5wxgtgSBXUgnUWgKqIDXRA0xGeKewcgORihWYFwmtgBl06tRJwpuauIyTX8MTMKGEadmYX95RHti0+ri4osgSmoU3gjCtODEZE4qJAkV4GtYx8kB8UZDINQJ1qFChWI77mjNGu1HQyYdjUxcnmw/HouojYXxgUxV/nphTCCukFgiwwD4CGrCBwYKNwk6+GDwxn2CUeOqpp2Sc+thftDnEedHXvkjT7kqORfIHCa/Hq8HaEUeyTdO2cs7BU8S8F1eOuB6KE6HIRLBQixHPEtESKHJ4b7MkQBuIWgClj+edcG7+L4doP30GOA3eJPYfGJJuvfVWMSbhOQMJUEklUGsJ1N1B1ro1Dt6fUBEs2LicURiw3rOJY/JisvSxVhBiZjNK/C+WIhL+ceNT/4OcCDZzWIt8JPqEBFas9UlQBortffnll2K9gjcUXiZjXwhvConxFAtkgWHxxCPBokUeCHlIPhKLIaFm8ISnhQ03zxrws1hPCWPF4ugjgQgGUiR1RrD0ktuH14hC1qA2+RpGwqaNuZGwI8YfxGaK54+NG+PURwppXmSuI1SanEXGHXM6OR4NEc8ZAAC+UaXGIsYLjBuAMRCKXm1C6WF+L+RlBsXUgkJg1MTgUilPNN5gQpwJ8WbPQHg6Hv9yiHmeMDuKxNrQ45tvvlnyoklpgHcllUCtJeCdgsSmlo1ukmxSPi5awsaSRFgcr2IJFzNFYXEHE5PLO9Z67gPaFhOTj0QiJlZfZMkEC9oWGx2UC8JmSCT3kajbxIYbAAY2CHiJQHpD8QOqvXWEAAeELahvxJP7pFSwSOPNhDcWFpR1Fhd4BmjDR08EY4yEXcK1yPMDPMPyxXdYLX3Nh2NuoIYJcPqEfJIPd8QRR8iGC6AZjCugi/lIeF4xQBD6SEFL6jrxnNF/ccQt33gLaV5k/gNKmecJBYm5w66ThfoFw4SPClIlxiKGGTwarBnkQtaCyKdmjQbxDWOKreNIBASeLQyaRLIAxEG0RLmencZ4JDcPtEpkQo4y78zNpRJ7KPhi3cJYREg/+W8oXj7WXixVDvo7tyXgHYpdtesgMTmyqQEGEwswxWFxCbPoAO+Jdfj+++93u5cLtA50HKpy2yJ0WInGjBkjgA24vVtHigQWHpImfSMsblj94A/Cpc9Cw+JPvQfyP8hnAcGPjapvEzJ1dWyiLuFphFVUEk2pWv1PaCfPGHV1WJDbtm2bT0yuVhuyvA/hdXibQd5EacDbwtgkJwnCss8GjA2Hb0ReJtZtchNCopDnxZD6Kc5LlmMRYyHPJIXheV4L5UXG713pz0RzYBDjWYsbjvCacRwDJwbNk08+uWoGMvY7GIoJuyPUr1hiX0HEAMq7rxE4xfKs5/spAe88SNUWMxtpEGMgAAzIO2IDh7WNECdfPS3whfXXEryh7IFoB/gExAbPx8R4Qg3wSNBPWLfpM/jD40esM0T4FshAPhKbbaxt8GnHoY98JNtMeBZKK14xWyg2eY5P/8MDyjfPGX3GGLzmmmvyLODR9nX+IDSVtrOhtM9UnjGPP4Q8LzbWLfQjBopKhWk1du9yv8tyLFL4mKiRiy66yIm1D68QIW2E1PFiPmHOt0ARGDbxxlSz33r27CkhcCg3tAcFtRgiNJCoAfKFlVQCLkvAOwWJRHXqohRLpcbM4sZmImDhxErD5GSTI7EEE7rgI+EZY4IirwVLEP8TYsdkh3WIkDu8SL4S1jYWFyZwwg/YrOJJsuSrckTfMA6BtLcEb3j/COHyldhsA6Ixbdq0PAsoTNQaIXeC/vSNUBwIQ4EH4uupVwIqFShvKEyAAZAA7iPRVxgZAKnBmo2nLN5HPHs+5iGFPC+GChiS1VhEKSKiwBXlyM4LKBQYjsjDZK6Pgw8xR9aCCGMnvI/IGspkAHqUlohKAfBi0KBBAs5DRIc1ytprEFJInUYllUAtJeBdiF0lhcUDj0sbtzUvNm1UvCcunXeQbLCygbiFlZswIB50JgvCt6ppxclCDoSbUTuBTSmTHJsDrN0oEiwSwHv6SFhDcd9TjBN3PpXhmXDh55ZbbqlorHYl5UVYnRaKraSEs782SHXkhpELR94YBgmQ3iDydcgniCvu2begMlekGCyFHhuigw46SHKvGvre5eOhzot40C1gCMqtBQxhXmF+JAmfDbhvlMVYBJDhsssuk017rcPq4vIntI7yFKQWQBhlMaxgfAF9lT1ILYk5AI8bERsAWaUlvH7ffvttg6fjNfO1xmSDTOkX3kkgeAWJDQqIWMS8FioISl0jYGmnR9j7xNOTI4CFA6sNFlGsNUxGfOadzTcPNtfEO2H/5zdYQrAYW9QgznedSCSnnbzwKDHZYRW2LnzX21+ofSTYEsoEKhrKLBtRLF1MuIwHckJ86Jskb9S5IEeHpNa4tZ7zyEOirhObHN8Iqy0AFMlCsfAB2hEeJPrMZ8KwgrUXwwoGCd6TBZp95i+0toc2L8IPHojGAEOYK2vlkajl+AE1jdC6WgIyFOIfxEHyi9hjYGDBuEdRWJQmDIAgY5InVWsCRAdgLObx1h5HndRajnp/9yQQvIKE1wfIZzwiWHChpUuXisUDKwWbMhYOFBwQpYiN5XOS2NCgFLHQYLVBObLEBAa63hdffCEoQWyGUMiouE0So0sWKdvm+DvtxmMGtCYxzT4qD5Yf+ok+xLIFJCnhF7jvCYtkwQHU4OGHH/YSXhmLL4iKheogUc9q7Nix5qWXXrKi8OYdZZb+KtR2NgM2V8fHfDjbCcwbeKR5J1wGtMgQiOcN0BBQPQEKIXQwFAppXgwZMMSOt1LGIrWDCE1mrUYJcYmee+45gddmbqRAKwBRgIgQ5s9ciceLtSxpLKs2DwAgEa1BBA5KkoUfT9OOUOfFNLzrOe5L4L9JGe63tewWAkULVCUKC+FWLOyExvHCY4JSU0g5YpP2wgsvSFFRkv7xNGHJJ/kfQqFgU04cPnGzwN9yHWDBqXNC+IJ1kZfNRIYXIJyQSRfFCK8RGzeUiaFDh8pkl+GtqnYpEPgIq+vcuXO9e9InKMy+Im/ZQrH1GIsOhFIoNsmb74ViMapg5eUZY2NDGAqbHcLuqLnjMxGKBlgI8x4eTBRZkAenTJniM1sSZh3avEjoHEY9C8xjQXlsR1kjhP3ft/dSxiKGzL59+0qEgWvKEfK3IEnMF0mi/9h/YJioNREijAeOtgDbnYZCnhfT8K/n+CGBZqMgAduJEnDfffcJ+hwLORbPpgpQgs9PYjX5RSg+bLCxZLPZxvuElTFJhOWx4JCozESG+xnLP+F3KFouEKGELAps0lDkUOBI9GdjgDWIKtc+EsiC9ClgBkliAp8ehVLiJfORjoryV8iHo1Asyj2eSxRCwi0oFAscvY8ULxRLmA+LJzVceGZ9LxQLCIMtNo3iAE9sJsg9wnLNJs1HIiz50EMPFcWI/APKBWDRJreAcEms3z5SqPMiRjwLGIJxLw4YQl+S1+Jr0eJSx6KF3S8F9KkaYxullj1GIbQ3eKZPed5cIPZHhCgSwkl9waYo1HmxKb71e78kEHSIHa5fNsNYYrDCYO0stkIzyhE5RyhXScI9zyY1TQgdBfpAHmMBxp3PJhePVa2ITQ3hf+RgJfONsNqTZE1bi3GX14qX5H0BnqBWA+8kIKOsYuEmwZU+oE+LHQfJe9Tqf/JxqH+BEkFoBWElWIYHDhwoykSt2lXufdlQUyiWMDTLF9dkU3fvvfcKqmK596j27wnpxLNMQUQ813Fi04ORBgRJYHN9I+YwvBEU6UzSH//4Rwk5JrfDNwp5XgwVMKSUsQiSJArSpZdeWm/9c2XMYjwBiIE5hLWaQr/MI0TCoISg5LpmyOT5IZph6tSpDRoiQ54XXRk72o5sJOAdzHdatqldRFI7FnYIZaSUTTEbUbwShYhwNCz5aYi8JRQRlA7ihonVJW+kVq595EJOS1I5gheSx5nE8Lj46G0hsZ8wO3LOUCAgYJYJf2TTVso4kIvU+A8FigkJwXKfLBSLR5Ncu2KQhGrMTv72GCBI7sVamiwUC/AJx3bZZZf8+b58QAnCMELR4iQxBik9wKbVR2L+KMQXvKDUgrzlI4U8L9IfoNiR9wHdfvvtpnfv3jJH4olgvieM1zcqdixyPuizhx9+eMH1zxX+Acwg3J2IDhQ5CGMLhLcPA6BrBBASIEKnn3667HMKta+a8yIRQAcffHC9ZmCEI9KEvPMOHToYkBDjUOPx3wG6RSRDklDMAQ/i2XnggQfyX7PnALgCLx9rGjnv7KO4zznnnCORSPmT9YPTEgjSg4R1BdQyPEgMdCwxbMB4FUtYa7gGG894MiQPwdtvvy0PGbk7xRC/RbECOhz3PgAScdCHYq5V6rl4UXjw2Xwm24/FHi+FjVcv9R61/h3tZ7Km//AesiGttpyzlAGWecI8C4E0sFji0SRUxjci7AxllrCzJAFHTI0NnpVCKJTJ8137n5BcgEKYj+LEJo05BWsr6IO+EeF0jDVQL+OgLsxtPXr0kDkFQ4VvFPK8yIabNasQ2AlGQDaB1OzyjYodi8yjeKpRNuJruqt8s48h0oNIGAxhpe5lqsUfOduE0A0fPlyU0EL3rda8iALTkIE73i6Mp8zF5KND8d+h9GHUThJKDwYugJ/oGwiwLgxHeNIKEfla1Jv0NRy+EE8hH/POg4RFtrE8HmqMkLCJZYBip2ysiiUeDjxHEBMoXh9CgNigcV3C6rDm46Xg4SiWuCaFSonbBbqTjSEhYXELRrHXTHM+9yEHxxI5UljogQslHwKLCiAUt956qxPwobadTb3TP1hDGyN4txtwvHYoTD4Q485aD8llY+zH+xAe8PZxHmEYvhDPMdZrniEsbAsXLqznTWWzPXfuXAkxqfSzkZXcGIvkHFkiDIacI/L7GHc8c3i3yfvDouiTxR40LRQ7CKWI5wmABvjCog3v5P7hyTzppJOsCJx/D3VeRPCgd9riy6xphGwl825J9mfN8ylaoNSxaJV65OKicgRwEvN8Y8Tew65lGCNcI5AsWYtYt5gb8Ja7MC8SLUOONYTSiSeVdALG/oIFC6ReIkpSOcS4tMoRYf3kYyIPvElEr3BfjBB77LFHUIif5cjM5d9650HCK1AoLKwpIRdjdSFRnAc6DeFeBZ2qVGJzC8Q2Gw0erFIUrrT3vvbaa8UzlPb8tDJIe71KnQfQRDEKDx6yQm73SrWvnOsyoeJlxCqH8opSnawwDigIkzAIQmmsZeW0J8vfojTg7WWBQhFKhtGxgSF3EIsvYVs+EGOR3KK0hDXRl4KIGFLsxqwp/uAJ3nygUOdFZI/ngbAeiM0f4dPxWkc8Y3jV8a5TUNtFpUEan/hTylgEhhpvNEYKFEUXiVCtuIGlqTaS6+MiIWvGEwoSnrpazYusLXZNLOQJYo+DsRpQIEovYCzgeWjqd8i8kAeJ0iI8Z6xbGP7ihXz33XdfAenhtw899JDkefNZyV0JqILkQN/gkcLlTzImFo1SFEAH2NAmVFgCADSAvAhEdEhEmCc1ydioKqkEVAKVkQBIquRiAlrTHIkoA3J6mGcKQWc3R5lUkmfyZAGWIO8NA3UtKI2ig6fHGn5QajB6p/ldIQUJjx7KD0QeJsZNDJgQYXiEwaOIYdANqWacMBjgH+8UJPJJkrHtkydPFksZrlxidAsRITouh+ngKcCTxMMJZHNzXcQK9Z0eUwmoBFQCKgGVQKkSIKSXXL/ddtvNG49tqby69DvAMAglvu6662rSrMYUHQzTRDAQDojHCyXO5l3Hf7ftttuKNyzJAGHEhDvGc5CITonnF7EnJZyOFAbKWVQyQijZPv2/fAl4VwcJJQdUF/tCOydRDqhtW/AVD0zyVYxyRGI4A78YApmFWkIoOqUQyXu0mVAqrBC4fLOmY445RsKVir0u4X9xlJZif1/p80nyJz+McMVi6LTTTnMeYpkJ9tFHHy2GLRmH5BkUK4+iblLmyToW6wpQx2JdeVTzPx2LdaUd4ljEQ034FMixbIZdJWraATpRLLFnIM/FNQJxFYADci5rvUYTnUMbeBGqTgkTypkwHthHXnPNNQXFR4QDSlTyVWiPCDJiHF2QfSE58cwxRH/st99+4p0qeCM96JwEvANpiEuQWgbAKaL547bMinhw3osSqUG/Ix6VuGyOAdDAZ5QgFBiSXvlMMjkWB85F0SmVSHwGUY6EQVyzWCOyJB5QJgEQ6nDxMinAE7kfvEPkgoDkRAFcLCygwOEaTiLdZdmucq8FKhOeReLKgS4nxp7Y36222iqfr8PiCJAB7yRn8s74OSoqvuoyER9NsitjAtARPKQcIymesYYSRC0aUBEZr/zPuCH5vyFvqgv86ljUsejCOKQNOhbDHosAwVB3kLWaCA0b8uTK+Iu3g7ArkvkBb8LbwJ6AvQ2obzYsEGRd9icgpsETXg9Cw1z0TmC4Zq8xa9asmq/RrI3sE+LEvgfgBmDJ8RQ1RIX2dci+EBHCSRg8SiEeKntPzkdJY+1GmcXwrOS2BLwLsbPiJPmURE3ydqg4nSWRuEdOkJ2AUBRQgrDKA82LAoGCxEPDiwnX1jmiPeUSdWHYEBMvjaKUFcEXiZNA86IAEXbAphq+8BCBnoPyxMYaJYMJmQWFGgEuo1LBC+0m9hfFB4uQnbzgDYsR6FscQ4mFLzyKXbp0MSNHjpQxlJWMs74OwAwUgaWeAgo5fQh/ADUwyWLVQvGDT/oMyxjKLFbIxib8rNtZ7PVCHYvI4YYbbpANDonJKOPwyvwBehHPEgYJnjv6i80PfcYxHYvFjqJsztexGPZYZH3meWOzfuKJJ5YFqpTNiGv4KrQTo+9LL70k+w/mD+Z91i1g2AnDB2UWxYk9B/M+m3w8E66CvbA+MSfiWQHlrZrzYjxUDsWEtZS9FesjSiWyA/mY/Lw4xX9XCNyBcwvlIMWvwWf2juQ3kTaB4mRRlelLQJWU3JaAlwoSG3s2FEuWLCkKvaycrsD6ABQxblU214TzVdJCz8PLQzplyhTxhJTT9sZ+y+SLC5iFA0UCJL2OHTs29hMnvmPDSe4ZoRMofExEbDjpExYOFkX6DEUXhQJFj0WG81iEyPEiVrhXr17egWIwyRIGQ+hd165dBfWIQsi+E2MRJRdFwqex2JTcGXMYVQjn4JkGbAPPZSXnj6balNX3OhazkmR1rtMcxyIbXIxiFNn2kVCSnn76aZk3MKZgOAWJzxdircbAioIUN/hWYyw2pOhQDwwDInsBooIosxIHP2rod3GZJxUkUj1QgjDGEsmSNCqjGBLtAt8Y910MiYzzp5+jMj/R4M35JghAGkBHQUmpprscxYxwM1zZWG4qTWzuCf+YHtUuwmJULqHckSf1zDPPiEeC6xN+gALB5pTJl4RKvGQ84ECiFpO7VW770v4exQALEAorCx+baSxBhSBq4RkLMROTJRQnNnZ4nuAbyO9zzz3XtK4R0o5tVzHvTLZXX321Ofnkk50OfyyGJ3suG4A2bdp4A8Vu293UO+EVxLMT7hMS6Vj0rzeby1jE49K5c2dDbo/v6LDA5rMpxzjsGxGhQvkU9h5JquRYbEzRwatllRj2DyhNNkyxsd/Z9icVJKKKMFSyn+J6hEGSQ2yJ67O/IpIFwAYMvEpuS8A7BYlN/fbbby8QiXgFQiY28uQEAUhRjvWL4njAu2KxQInAw2JfKJiECfLQ8mAT3ofSwDvHQWCxYUG1ljWx1nhOmGSZgLLIs2FS++STT8Sqc/bZZ5tTTz01E2W01rLS+6sEVAIqgeYugeHDh4unHQVJqXYSwCCJMoIy1KlTp6o1pClFhwgMIlAgwhTJGYKa+h3nJBUkjoFWRzgdtNNOO0mkADDi7FnYg6EkQkCA9+vXTz7rH3cl4B1IA5tYQlNCV44YMvBJYj4WZ8IEiuWZ5H1ibsktwjuENwrFIg3hWMTDAqLfxIkTZVJjkanm5BZvJ14jXPS4pwkvQMHLgsgZ44WnCa8UyiQx3ihfSioBlYBKQCXgrwQmTJgg0RD+chBGy/GsEPFDEdVa7SEKSZK1vn379pJTTttA3CMUulRCCQIcilxo9k68koRHMw4Fnvxe/3dHAqVDrtWABwqPUTnaukFr0ISq35JcGTxJuIPTEqGAZ5xxhlSxxs1LuBLhBWmVI+6Dpwn3MAn//J7ERrxJhKIRE11NGjVqlDn66KNFKcpSOYrzgPLJBI6Fh2rzeO6UVAIqAZWASsBPCYDAStQBG1Kl2kuAyJ9iS1ZUutUYjckJtXTKKaeUVWKF6wGwgQKUTP8AtY6Q+GnTpjmZumBloO//lYBXIXaHHXaYVGV2GXL6v6LN7hOADeDpM+HHY1oL3QG45549e5r58+cLjGQWqHr2PniUyMH67W9/KxDZ1ShmSz4KExiTC7lGlSZCDVlUyfkiHABelVQCKgGVgErALwlQ0oLkew2vc6PfCLMDpIFQ/+awrpKyQH4m3iRQZ7Pci7nRo+G3whsPEihQJLVVY1PuWrfj3cCLNGbMmEabBmgBXh42+HhDsn4g8UDhwQFindhd6jFUknB/oxwR61sN5QheyLtCAUdRAryBCU5JJaASUAmoBPySAOHSJMUruSEBwuzwsOBBaQ6EBwlwKEIKs96LNQf5ucCjNwoSxS+pGQJqWXMjG+6GgtQQ6CCQ5927dxfENlsEthJyIi+K65Ozw/3wblWCbP4U4ZRNec0qcX8mNtDvevfuXfWQwkrwo9dUCagEVALNRQLUMJw9e7YUWG0uPPvAJworkOVKKgEfJOCFgoSrcty4cc1aCwesgfA5KlIniZygww8/XCo2k2uEF6SSRPgZXhaQXo488kgBTsjyfigmffr0EWCJYoEpsmoHSilKEmGNgDcoqQRUAioBlYAfEqDANoQxT8kdCWy++eaGXHIiNJRUAq5LoLI76Yy4J2aVOM4QimGWKhI8N3jPqCeQJKoyg7HPhr7SypG9N0oS96NKNHWpsiRgzYlXxh1fS0LmeLCuu+46kW8t26L3VgmoBFQCKoF0EiBRHmPhz3/+83Q/0LOqIgEAn/DukTKhpBJwXQJeKEjgyhNel0QFcV24WbePOFaAA+IEhPeNN95o1ltvPYEFj39X6c8/+9nPRIEYOXKk5CVlcT8K+910000Cs10tZa+xdlMol6LAgwcPbuw0/U4loBJQCagEHJEA6yIGPCW3JMAehmgYIjOUVAKuS8ALBQkPEgpScydAEvCszJkzJy+K8847T2RTizwdGgF4Ala6Cy64IN+mcj4A6U2No1rxU6jt1ESaPn26sWEbhc7RYyoBlYBKQCXghgSIqADcR8k9CRAZoh4k9/pFW1RfAs4rSIAPUMunmBo+9dkM4wiKCN6MZ599VhgijIAKzbUuarrOOuuYKVOmlG0V+vzzzwWWFQuTS7TiiiuKEkoROCWVgEpAJaAScFcC1AGkHAWlIZTckwBh61pn0L1+0RbVl4DzChJKAKF1bFKVjITRPffccyKKsWPHSl4SSlMtidwo+ufOO+8sqxkUkQOlzyXvkWWI/LfHHntM4qftMX1XCagEVAIqAbckgHIECMDaa6/tVsO0NSIB+qXSJUJU1CqBLCTgvIJEbR9CrpT+TwIoQ7insZJNmDDBmYrMKDXjx483IA6WSiggKFogyLlG5CJ9//33EmrnWtu0PSoBlYBKQCXwfxJYvHixIT/WRUOb9pExrVq1MkQGNVSyRGWkEnBFAs4rSPPnz3dyw1yrDkRBwvry4osvmm+++caZRYBcJELkXnvttZJEA1Q5tY9cDaVEaUN5I6RRSSWgElAJqATclMBnn31WtcLibkrA7VYRjUHhe5CJK0Vvvvmm6devn7nhhhvkFtdee60g7lbqfmmui1HbEmkjI0aMMF9++aU9lPk7dcD69u1rHnzwwcyv3Vwu6LyCBCBBrUPIXBoMyOLbb781FtkPuG0XiDBIgDReeOGFkpozb948CV9zueI0skeJU1IJqARUAioBNyWAoW7llcXbKusAAEAASURBVFd2s3HaKkkLwHtEP1WCUL5+//vfmyeffFI8idwDMKtaFqgdM2aMFJ23/LLfOeussyqqJFKmhFqVhxxyiAHoTKl4Cfy0+J9U9xfLli2rOnx1dTks7m4MeuKrgcl0RTmyHNCeUpMvgfcGhMJlKHcUJNqppBJQCagEVAJuSgDPhKLeutk3tMoqr5VSkIB4x4sIcNQWW2zhhCAef/xxQ5RMNaldu3aSN92pUyczdepUs9tuu1Xz9kHcy3kFiaJiGkv837FmlSLC7FzLzSLum5DIUojEWteL+tG+f/3rX+aLL75wNhSwFNnrb1QCKgGVQCgSIJSJtUjJTQmwh8EQGg85y7KlrM/QRhttVO+y5G9PmzZNkH/xMllljRMnTZpkOnbsKGkCGOa7deuW33vOmjVLynyQSrDrrrsakHvjhPIzY8YMqQfJ2OvQoYPZbrvt5BTSIT755BPJz6aO5e677x7/qYTtEw63ySabmF122aVexFRT9yZPHw8RnjOUop133rlOWgqowJUM5avDTGD/OK8gEU5GzGqtCZcwnhuIAqZxIAGO8z3HksVNG/qunOsxwTAJxJH9yrkebaTd8baXcj0mPax3WG+w4MWteDy8//znP0V+AB7EPUUowUwg3DNJ5ciPa6Xtq7T8ch7ttblS8AswRbH8cg1kwIQbpzTXAzWQdtj+51rlXK9Qf9TqekzkhFk2NV5q1T7bV8W2D8UaDyTPbbXHSyX7l43BV199Zf7973+XPJ4r2T76q9Tn46OPPpLn2tX2NTafNvZ80F/MO/HNYbHj2T4HaearasmPOZF5mTFJpAVUzvpRrfWcdifvxTHaDrGG8b9dnxviiXMb+i55vVruX2gLexj6ifme9czyBg/lEntGKL7H4H9ycS677DLTvn17KZVCnayJEyeaTTfdlK9Njx49TPfu3c29994r//N+4IEHmsMPP9w88sgjZquttpI2n3TSSeaOO+4wBxxwgJxHPtH+++9veEfBIi2EPdBpp51mrr76anP33XdLZA18X3zxxQaPjqUTTjhBwvaBpCcqaIcddhDPF2s7CmRT96aNvXv3Fh7YJ5PigAKHsmdlyrPAfKBUvAScVpBYdHnFH+biWczmFywgti0MOOvJ4epseOxkhpfBtpcHgkkAYrDGrVqczzWhYq/HdQFoiCsg5V4PfsptH3zjNidPBwvLNttsI/zxh1hYW2iVCYJaCJYo6vfuu++KfOEtK/lxLWRrJ8py+4N+5hrW8kX/AbnOuCiWXxRCZN61a9f8Yp72etyLczt37iwiRH7lXK9Qf9TieptttplY97DcNTVeatG+YsZzsn08E1g0sWBWe7xUsn8XLFggNWdAeCx1PFeyfTwgpTwfhNKSJ8Bc5GL7ynk+mMdQWrA0Wyrneq6MZ3hhbrTrdLnzPderxnrOfRrbH/BcwZONGKn2fqOp9hW7f+F6PFfwNHPmTNkngGyXFaG0029WXva6r7/+ugG8gXmY/QZKzamnnirKhD1n8uTJoqigaON5ufLKKyVMDS/O9ttvL6edeeaZ5uijjzbMfSglw4YNE4UIgwpGB/ZixxxzjLnuuutEIQMg4oMPPpC94F/+8he5BmGAEOeiTLH3GjdunDnssMPEE7XXXnsJiAPIvo3de8iQIeb44483o0ePluvhSdp3330N5XGsB4tnXT1IIp6i//wkmkTqm+2LvkzlfgBmPpNercPsGMiIismq1sSDvuaaa8rGf6211iqrOfDERAVfVjEp9YJAdzLRMekVSyC6MJEUcosXey17vl0orSXFHi/1HcsUmybyrMqVe6lt4HdMdihpWS4q5bQnq9/SXywkrVu3zuqSzlyHxROrPV6kkAiPGEYg14o7lytjNqGE/YY4FuGL/mITGRJhnGOdZi1hjj799NODYM+u0dbQFwJTvXr1MmOjOo4bb7yx1KuKG2fL4Y/+B5SAtYQyKJZQXDAIWAWF4wAnoMjgiUUhwuCMgnLrrbfan5kNN9zQbLnlluJBsgd5fjbYYANz++23mz/+8Y+GuR0D0W9+8xs5hbnjmmuuERCGjz/+WPjDE8U8ae8PyBZKEO8YSSH2Fygzl19+uShuae6NkZT2jxw50nTp0qWeUsh1aeeAAQPEOKe1wZBIenLagwQbDFoGe60pq012uXwwWfIAojBmkeSIUpTVxEu7UNxKIWt5KeW3Df0ma2UW/pBXrZH2uH+t29CQzMs5Tn+FuCFFJnGPaTkycu23NtTUtXaV2x7mxFDH4nrrrVeueJz8PZtLiM22jc5wsqFFNirLNbrIW1fsdPqHfkLRyJIIcWMdiStH9vooJHEi5wfCW8zvoLiBFqWHmlooOYXWWzxIEMZSwugGDhwoSgg5Qdb40NTe1SpVXAfjGftdwuHS3hsY84MOOsjsvffe8vvdIiAGwvbwIlnC2/VeFP7HfEY+FPlRSukk4LyCRCxmU4MsHathnIUsmDCxvLhWkwcLSZs2bUoSNNYSGztc0gWq8CO8NlheQ/MCVEF0eguVgEpAJVAVCbDJZIOp5KYE6Bs8PfRT1gTIwUMPPSReHfJ64pRct1FkoHh0UjwsD0WLF3lAKB1Jst4YcpLuvPNOc+yxx5qDDz5Y8oiIouF3TVFDxum09walD0WNEG68USiG++23nyhsRxxxhNz+73//u+RabbvttnV4bapt+n0U+uq6ELC86mT3315CFjw8WDzwaLhEKEibb755SU3CcoPy53Jfk/dFnoySSkAloBJQCbgpATxJgKIouSkB2zfW45dlK0eNGmWOPPJIc9xxx9W7rM2Btl+Qb0TkCmANhQjlBQAHcoBQLuyLPelNN91kUDzY8wDYQE0jco569uxp8NCS6wRZ4z5GbZTCtJTm3uyV+vfvLxDehNoBAAGP8ANIgyWUN0KhyU/K2mNn7xHqu/MK0m9/+1snNs0MdBfc9ngxCGvZc889BaiBB7QcImSPa/BeDtEurgMKSymEgkR4Hg9yVkR/FTMpNXVf+Ntpp52aOq3i3wMAYN37Fb9ZFW/AhE9yaZZ9VsXmN3orEIos6lijJ3r2JXmHIdYGw5v98ssve9Yb6ZpLDmuISdvkLxJKRK5fSPwxH5a7zqcbGdU5i75BYaCfgLe2ClNWdwecADCc5J6G3CJQ33i2gdsmH+icc84Rg3ND96bALHnHgDkA7EBuG3lHRO9gDCZMkJC16dOnC1ASRlTuQU4QxP8Q3jJ+i2cpbaRMU/cmjI80C9DyAItCjtRbIkfKAkpwbxQ8kPsa8lZxjlJhCTivIBFKlhzohVmp7FHa4MLGjYcLmYB3jyUDK0Y5BF/WylHOdWgH8bTxGN5ir0d9ACBosyL6K6s+Q9kiNnjHHXfMqnklX4dJEeSb0Aglmw13FuPRNdkQx56l8u8KfyBGLV261JXmZNYONjYkX2c1f2TWsAwuxDOW5TybQZMyuQRrEPVr1l13XSk3Eco84sreI5NOii5CH6EwkNfDM5a1gsS16XurnNh24+VB6eB78nYIjUNBaowAbbj++uvNXXfdJXsbIncIw7vnnnvygAjDhw8XIz77MbxinE+4G5E+wG5DKFXMlQBFkAeUhtLcG9hy0hr22Wcf8YYRVgcgw4knnpi/BetqPIww/4V+aFICzucg4eJkoLNQuQKU0KRUK3gCgx1rABYYYlxx64LyVypxnXKJCRyrUPyhLOWaIL2MHz9eJjcmF5eIxZdkTAudWcu2IZsQnwXLUxZjspb9U+je8ObamC7UzmKPwVOofDEOQxyLIfcZ+wRyT3hnI15LtNFin6Xmcj7GPQsUUol5kbpKUDwFwRoEhg4dat5//31BlrNAClbuDdUKYl9DDhIeykI5yBh2bTFYcuYtoEP8/hSlJYIA4yaeM4h9U5KSBu+m7k3IHDlXKIQAShBeZ9dRe232jEle7Xf63rgEnPcgEffJhJ61laFxsdT/ljbgTq01MdhtGNtRRx0lD0Y5aHZsALCIlLMRwDLC74n9LYeYaJg8srJI019Zbd6Y3OAvOfmUw2+pv8WDuPXWW5f6c2d/Rzw4SEMhhgIQmomFMTTCgAUMbmiExZUw5nLmRVdlQiJ7iIpD27ZtJdwJgyEbQkKRQyDWsJA2uHjTAWWCWPOzLhFAbSKIsOZChBJRrDyZB1BGkkAP8esD2mCVo/hx+5lrWOXIHkvznubejBFkmtyf4FwgHwqvqlLxEnBeQWLThMek1uEpDFJetSQsHFgKbIFQNly4VCnyV8gakbat5fCFpY77U0+gVIhv204KzvXr10/CBsvhx14vqz5DAYTPPn362EvX9J1JEFmFSMUuXL7IAGW9nOfMVT5ZmHUsuto7hdvFMxbqWMS4wpjEiISnIBQKqb/IkUGZhSox32O0oSYQRinyc5orTZs2TRQyvGfUhlIqXgLOK0iwhHsybWJb8SLw5xd4McjziYfUDR48WDxAxJXXgoghxmpCfG8WhBKCixwrkwuEooYCSAxxXO4utE3boBJQCagEVAL1JQC4U0gKUn0O/T1Cv5SKdpuW6ylTpggIQ3NWDKjzRO7U/PnzFX037cBJnOeFggSuO65CwstqRWyUs/BqlNN+wgyTDzzu5CuuuELirUsNQyyVL/KO8K5QNTqrgpEoW8BVEj9eLuR3qXzF+wjFE4Vt0KBB8cM1/QxfeLRCpFASq5N9EypfOhaTPe3+/81hLBL2GRK6YhZrmQsjk/WUfQr1e6BKjUW82hRPtekILvBe7TaQ58V+McTQ7mrJ0gsFiRA76s9klZtSinB5kGsJ842CiBetR48e9ZrPQ9C7d2/zXgRxWqwSycSLIlLsBExbsASRvNitW7d6bSrnQK9evSSMEH6KbVf8vkCjxhMl49+l+YxrGkUNBbQSNRvStKHQOSz8wGGHRiycEydOrNiiWUt5zZgxQxD6atmGStwbCNxkfZFK3Kfa1ySkm1oi5cw/1W5z2vtRDwWveGgEtPMbb7whbG2zzTaCkGaT833mFWNYucZCV/gH6rpVq1b5ejxPPPFE2Ui8rvCm7QhPAl4oSIidBHkmu1ouWLW8N8gvQEw2BKM9YsQIQ/Itm+dilCR4KpYvlCNqAgAtOWTIkMyfCuKtb7nlFgMiTK3CJFiQQIVB8QQS1CVCUS9H8XOJl3hbMEKwGQjRO0Z/1dLAEpdzlp/hK8SxCE+Mx2LnxixlW6lrhdpn8XmREDs8/2+//XalxFi164Y0BlFi4zV6GIshzotVGxx6o4pKwBsF6dBDD5XkyyQMYkWlE7s4m/YkQkjs64p+ZBIhnA1vTUNEcurdd99tdt11V7Nw4cLUhfKK5Ys8KK6PcoQSUymZgAgzbtw4sZyhqJRCtK2U5FYmbBRAJnK8R64RYYguebSykg8JuwB9kGQdGhEKC+BMaBTqWAStCnStUuYP1/uYZ4xaMKERyIO23gtzCEn6r732mvdsFrtGu8wwiGrsUSzxjGEIVVIJuCiBn0TWifpg7C62NGoTgAS33XabFMZytIkVaRb4+yxohLI0tXlEmTr//PPNTTfdJJto4lCzUGKwpoI+g4J0yimnmAsuuCCT6zYlMJBYqPcEFDnwnJXesOB9QzkiRpr6AiFuapuSuX6vElAJqAR8l8Cdd95pLr/8cnPDDTf4zkoQ7WddHThwoJk9e7YCHgXRo+Ez4Y0Hia6g8jHhNwADNBdC4SEe/swzz2xSOUImeJKGDRsm3iQSFYn5JTyvVD2Y3xGvznWw9DzwwAPmoosuqopyBD9Ymx577DFRjBYsWGDIK6oUMa64BxChjz76qCpHlRK0XlcloBJQCVRYAnvssYfsFZjTlWovgRdeeEFKtigabO37QluQTgJeKUgUuyLMjAJwIeYpFOoyvDatW7c2hBgWQ4TAvfzyy+bUU0+VcLs5c+ZIPg+J8E0pS3xPvhcgCcQMU3/p7LPPFmAAINerTSTckuRO7QSSwrNOMLYhdcgaC9d9993XaEG4avOv91MJqARUAiqB4iTARpyC2s8++2xxP9SzKyKB559/3hx44IEVubZeVCVQCQl4FWKHANjgs2FmU7v++utXQiYFr4nSwCuLcLWCNyhwEF4BXZgwYYLZeeedC5yR7hAeKMLFyFF6/fXX5UfE2BOuRsgePKFwEkYHgZgHsbgQ3nbwwQdLwqscrOEfvGmEDg4dOlT6glh6cjsaCruDn8bykBhDwI4in3bt2pmrrrpKeK4hi6lubSHvS6nKneoGNTqJMUj9qxBhSfHikh9BwdiQiDmK5yi0nDjmDgwxIVaghy/mjtAK/GLUYw6Jl5wYO3ZsPsyummt3ls84+w74aiq8Pst7Zn0tvHjnnXeeGG0J+7eEsZt1nMgXJZWAaxLwTkFCgIQ/HX300YZCWNVK8GNzzqJZicrPhQYFEyLekn333dfceuuthU4p6RhhZFhyCJlbtGiRbAIAQdhwww0lKZlCtG3atDHbbbeds5seNtGjR482Y8aMEQQt8rPYoJEvFF8EQaJjUYlPvoTooRDxYnPHGCJ8Efj0+G9LEm6VfkTfAVYSWo0H+mT69OkCABLa5g04W0oVbLDBBlUaJdW5zVtvvSUeZuaLkIh5cubMmWb//fdv0ADjK7+TJ0+WUKfQDBEY/1DWMexZImeWfFLyZjGs+kjsO+CLPFxfiTww+CBEP05//vOfpV/WWmut+GH9rBJwQgJequ0HHHCA6d69u1RKZtPhs2WloVGA0oLFefjw4Q2dUtJxLIeE3/GCUBKmTp1qunbt6k1YGaETwIsPGDBA8pNAu3vllVdEWcIzhqLDC8sbZN9ZZABhwOvEGOrZs6fZcccdg9sACdP6RyVQJQnY56tKt6vKbSxPvDfkoa5KQypwE8tbBS7t3CVZQ6nT9+STT3qrIDkn1CIbRMTDrFmzzJ/+9Kcif6mnqwRqKwEvPUiIDHc6dX+wpOP1qDTh0WFhqYYyBk8fffSRefzxx6VgaiV5gy9qDZHn5PNGgDwpcq7mz58vnjFkSCgJChMufJQqakhRdJhcJp8JyHcUPQruhURYGEFsZCyGRjzPGCcYjyERXj+8ssD1hkREDNj8z5D4ghf4or+qFQ1RLfl9/vnnEoqGASxOoL9iELz66qu9DN9l38HcGI+EiPPn+mdAllBQWZ+TPGAIpqRHaKHHrveJti+dBLxVkGCPqtl4PqjFEUq4AB4d4DCB6j7ttNPS9aKepRJQCagEVAIqAZVAQQkQKknh2MZqCRb8oR4sSwIYGghvBIGYl5JKwCcJeIVilxRshw4dzO233y5eJJKgfadvv/1WvB+9evVS5cj3ztT2qwRUAioBlYATEujfv78goS5dutSJ9jSXRlDHEA8zexollYBvEvBaQULYe++9t7n22msF/WrZsmW+yT/fXlugdM899zQjR47MH9cPKgGVgEpAJaASUAmULgFqIoFUOn78+NIvor8sSgLk/D788MPiOSLKR0kl4JsEvFeQEPgRRxwhUJ7E+YNwVgmySDKVuDb5M8BgUhT1tttuq0qek+WDSeyll17KQ3zb4yG8U8OJXKTQCGjUEIsfgjrIWCQvLjQC7Q1ErdAImHxKEYRGePPJmQiRQHsjjzE0In+R2n0N0bnnniteJM7ziZgPK1kgvVKymDhxouRt9+3bt8FbzJ49W4CiGjxBv1AJ1FACQShIyI+HEDhs4FlJ/MsaqYfrVWLjxqaJDQaIavfcc0/VoTzZlLLJ8XECbuq5QZEgiTw0Ihk5hJDSZL/gRWUsYowIjTDchDgWmW9DDFsCeQuDWyXm/FqPbZ4xQI5CI4xhjUWRUEsQIyS1kXyiSu09KikD5jq8RxRepwxHQ8QzRt61kkrARQkEoyAh3IMOOkhc6EwoWNhd3vTTRhQ5EOTOOOMMqeuTRHipxoCxqHz2vRr3rNY94ClUvnyp2VRMX1uefEZTbIhfeAt1LIbKF+MwxLHYnOfFSy65xMyZM8c899xzDT2qejwDCdx1112CRtpU7lGo82IGItRLOCABr1HsGpIfVok+ffoY4D2phA68brmEQgNlsWBiKUcxAvL3pptuMr///e/LbV5Zv8eLFBrkKwJBQabgaBZ9VpaAM/4xVm28LKEVU0VMOhYzHiwVvhzjkPGoY7HCgs7w8jxjwCqHNi8yFlmnmzI0XnHFFRLKfs011zTq3chQ5GVfCr586S9COC+77DJDEdhOnTo1ynuo832jTOuX3kggSAUJ6QMvSZHVUaNGSdjaeuutV/XwteQoYCOB8kZYCjWcRo8eLQpc8jz9XyWgElAJqARUAiqB7CWA4Wy33XaT2nig2yllJwHyqc8++2wDrPrQoUOzu7BeSSVQAwkEqyBZWc6bN88MGDBAXOotWrSQSbHaRclQjIjTJ0Yab9awYcNM9+7dbRP1XSWgElAJqARUAiqBKkmAGordunUzxxxzjChLVbpt8Le58sorBYzmiSeeqLlBOnhhK4MVl0BQOUiFpLXZZpuJq3fMmDFmrbXWMnPnzhWkG5JwiyFc3DbMLu3vQIgjOZuYZ+531llnCUqXa8pRiEnx9FGofDEOUbpDpFD7LFS+dCz69xTqWDSGGooXX3yxYV/gA6pdsXuPWoxKUOvefPNNCV9cYYUVUjUh1LGYink9yXkJBK8g2R444IADxIt09913m4033tjMnz/f4F1CgSEOtiniQUbhaYo4D0/RwoULDTDTxA1fcMEFBpjfM888U6p5N3WNan4PnC0Tm8uAFqXK49lnnxUgjFJ/7+rvQD0EDjs0As2IsRjiojljxgxB6Autz5hDyfUMjUDhmjRpUtFGMR/k8NRTT5lPP/3Uh6YW1UbWWzxDaYk8ZfJ/qTuYZg+Q9rpZn4cxzOX2wS9rEnsr0ho23XTT1CLA0xRiKY7UAtATnZbAT51uXQUaR2FZXqDcPfjggwKtzcQKYAKhdyuvvLJ8xgKSTPZMWnH4H8AFlAw2d0xixOCuuOKKEoMLdDfQohadqwLslH1JNqNMwCFuSslD4xUaoaiHyJcdi4zH0JDR6K80Bhbfxmqozxh8MR6Z431Jjk87dkLts1LmRYAadt99d3P99deb008/Pa0Iq3pect9R1ZunuBmlSlAyDzzwQHPooYem+MV/Twl1Xvwvh/rJZwk0OwXJdtYmm2xiBg0aJC+soHgbpk2bJpZ5rCEsjiC7gc6EgsMkxYvPVqFAOWLxRKlq27atTLQ77LCDILf4ggqHUrjmmmsGiUK1xhprSN/YPg/lnarkri+apciaZ4axGJpyhCxCHoshIthhMGvZsmVwyhFjkWessdo0nOMjrbrqqkUbjphLgaQmwoQi7eQkuUbsMVw1spI6ABhD69atDflHxRLPGAZlJZWAixIIHqShFKHjDXr33XfNokWLJOEQrxDHsHb88pe/zL9Axttoo40kt6mU++hvVAIqAZWASkAloBKorQRefPFFc8ghhwh40sEHH1zbxnhydzx2Q4YMEWPyY489ZlBQlVQCIUlAFaSQelN5UQmoBFQCKgGVgEqgaAlMmTLFHHXUUebYY4+teW3Cohtf5R8QRXPVVVdJXiX1jtZZZ50qt0BvpxKovASaDUhD5UWpd1AJqARUAioBlYBKwEcJdO3aVTb9t956q5k8ebKPLFSlzXiOUI5IRbj//vtVOaqK1PUmtZCAKkgppQ4QQ4hoK+SyULw2xJwWak+RJxYaEfdNseHQCKskYzFE+uyzz4JEiiT0+PPPPw+uy8hBXbJkSXB8wRAIdiEChnz11VcG9MFy6LDDDjPXXnutueOOO8y4cePKuVRmv2VtZjy6QDbniGeDsDoQgcuhTz75pOi8sXLup79VCRQjAVWQUkrrww8/NG+//XbKs/05jfyql19+2XkY0VIkSk2GEDc5ixcvltpapcjE5d+wwWEshrh5e/311w2bgdDovffek5IJofHFRhso/RANR7NnzzYo7KERecOg05ZLPXr0EOAGSg7cfPPNNR8DGI5cmBNBq7vwwgtFoSGsrlzliH5ivg/R8FzuGNTfuyEBVZDc6IeatyLEjUDNhaoNUAk0AwmEOHdYnux7SN0YIk9Z989uu+1mHn74YfPKK6+Yyy+/XECasr6HT9cjnO68884zrVq1Es+R5hz51Hva1lIlsPxFEZX64+b0OyCIgfMGxS4kotYTNZ+Afg2t3oeFjQ4Nhhho9hYtWgQH1Us/Aa8MJHZoZJ+x0MYiz1iIY5FnDPjh1VZbLbShKM8Y8MrJOn++M8pYBEktK9holABqJj700ENmwoQJUgC1FnMT63Itob7xpI0aNcrstddehvysLPdAzIuMxRBLO/j+PGn7jVEUOx0FKgGVgEpAJaASUAmoBApIgDxWvCfkJJGjtP/++xc4K7xD5BuNHj3aEKo+fPjwoovAhicR5ai5SUAVpObW48qvSkAloBJQCagEVAJFSeCRRx4xZ555puTeHH/88RJ1UdQFPDqZnEnyr/DI4TXabLPNPGq9NlUlkI0EVEHKRo56FZWASkAloBJQCagEApYAQBCnn366ee2118SjQthZSOFhX375pQBUzJgxw/Tp08cMHjxYQjID7lJlTSXQoAQUpKFB0dT9AsjouXPn1j0YwH+g44DW5AqMaJYifeedd4JEyAENLQu0pixlncW1vv/+exmLoDaFRm+99ZYBBSo0AiWSBO7QiLIOIGyFSHgH2AiHRh988IF5L0JVrCT95je/MY8++qi59NJLJS8JjxLKUiWJ+fCHH36o5C0EmQ7Y7lNOOUVg4B9//HEzdOjQiitHICpSKkBJJeCiBFRBStkrbG5ChEZlU8omp9ITcEoxZ3oaikS5dTEybVBGF6PuTIhjkVh/xmKIyvrHH38c5FikHhfGo9CI/AtqcoWorPOMAakfGgEXvWzZsqqw1bt3b/P8888bisuCcgf89Zw5cypyb1AHKzUOmWufeOIJ079/fwMYA3w89dRTZuutt64IL8mL8oypgpSUiv7vigR+6kpDXG/HcsstZ3iFRjY8wL6HxB88hcpXiGPR8hQamiLPFLyFOhZD5cuih4U0J8JLyPNipRSJQmMAhMNhw4aZvn37mhEjRhgAgTfddFMBcUDBcHkew0OKYjRp0iSpsXTCCSeY4447LlOEukIySx4LdV5M8qn/+ykBzUFK2W9MvD/++KMB/jU0wosERGpohFcMWGWXF6pSZM5YxPIXGmQ0stCxWMqIqN1vGIeMRx2LteuDYu/MM8Y6Ftq8yFjE21Ir+PKFCxeaG2+80YwfP16g77t06WKop7T66qsX20X1zoevLPqLcFgUo1mzZkkbUYqOPPJIs8oqq9S7ZzUOhDrfV0N2eo/KS0AVpMrLWO+gElAJqARUAioBlUAzkAChfvfff7+AHZAT1bZtW/O73/3ObLvttjWpq0UbCAfkRajvDjvsIErRPvvsE6RhoxkMMWWxShJQBalKgtbbqARUAioBlYBKQCXQfCQAABKgDgAgfPrpp6Z169amffv2ZvPNNzdt2rSR4vNZSwMlCEApcqIA5CBntV27dqZ79+4S/rfBBhtkfUu9nkogSAmogpSyW22iZIjx9oQmKF8pB4IDpzEWedmcHQealFkTdCxmJsqqXEjHYlXEnOlNQn3GXB+LFFwFAOHpp582oLeRB9SqVSuz/vrrm/XWW8+svfba8j8heYS8/fKXv8yH1cGbDbEDeRaQDZAIAaUAsAel6MMPPzSLFy+W41x3u+22M7vuuqu81l133UzHUFYXC3UsZiUfvU5tJaAKUkr5L1q0SCahzp07p/yFH6cxST/55JNmzz33DC6/iloOWOxCs5gR604YBwtgSASa0bRp0wyhH6Ep7PBFsUVXNyqljiMs1fRbtVCvSm1nsb8D/XLmzJmmW7du+Y1psddw9XxyUDp06GDWWmstV5tYUrvefvttARzYcsstS/p9NX9EPjPtBf4fTw+v999/34C8yncoRBC5fTanimN8xwtCYfrFL34hyhXw43ileG2xxRay7slJjv+ZPHmy2Wabbcwaa6zheEu1ec1RAopil7LX4xNTyp94cRoWHJv070WDi2hkqH2GBdEukkWIw/lT7VhkPIamINFf9FtoFOozBl+Mx7jlPpS+C7XPfJoXUXpQZHjFibkP4xfw+ZQWofQBoXkoUzvttJMYMVdaaSXJZcLTtOqqq8Z/7t3nUOdF7zpCG1xQAqogFRRL/YMrr7yyIGzV/8bvI6AZrbnmmkEma2KVot9CI8IvrIUxJN5AUmQshqYc0Uchj8UQEeywzLds2TI47xFjkWeMTXZohLLAhttnImyaccfLEuF0REEA9BAaweeKK64YGlvKTyAS0BC7QDpS2VAJqARUAioBlYBKQCWgElAJqATKl0B4lU/Ll4leQSWgElAJqARUAioBlYBKQCWgEmimElAFqZl2vLKtElAJqARUAioBlYBKQCWgElAJ1JeAKkj1ZVLwCGhvJE+GRuSyfPTRR0HmtCxdulSSXEPrs2+++UaSeEPjiwRlxmKIBBTvDz/8EBxrINhRZyU0AqBhyZIlobEl/JD0HyJgCLk6oA+GRuRVAeMdIlnUvhB5U578l4AqSCn7kBoDIMmERl9//bV5+eWXgwSgoO5EiJscal0ACxsascFhLIa4eaNgI5uB0Oi9994z8+fPD40t2WhT5DNEMBRq8KCwh0bvvvuuWbBgQWhsiTGMeTFEgq8QDc8h9lVz5EkVpObY6wV4DnEjUIBNPaQSUAlkLIEQ5w7Lk33PWGQ1vVyIPNVUoFW4ufZZFYSst1AJJCSw/EURJY7pvwUkAAQxkNFUtw6JqMewwgorCPSrrdQdCn8WNjo0GGKg2Vu0aBEcVC/9BLxyiEUD7TMW2ljkGQtxLPKMAT+82mqrhTId5vmwEOa2AGn+C88/MBaB+g4NNpqxCCy77zWPCg0v5kWgvkMs7VCIXz3mlwQU5tuv/tLWqgRUAioBlYBKQCWgElAJqARUAhWUgIbYVVC4emmVgEpAJaASUAmoBFQCKgGVgErALwmoguRXf2lrVQIqAZWASkAloBJQCagEVAIqgQpKQBWklMIFMnru3Lkpz/bnNBDDQGsC1jY0euedd4JEyAENLUS0pu+//17GInDfodFbb71l/vnPf4bGlqBE/u1vfwuOL8o6hIocBqLil19+GVyfffDBB+a9CFUxNAJp9tVXXw2NLeEHREVKBSipBFyUgCpIKXuFzU2I0KhsSoHCDrFGC4pEiHUxqDsT4lj87rvvZCyGqKxTxyTEsfiPf/zDYDwKjag1Rk2uEJV15nsg9UMj4KKXLVsWGlsGBYkyIyESz5gqSCH2bBg8qYKUsh+XW245wys0sugx9j0k/uApVL5CHIuWp9DQFHmm4C3UsRgqX4zDEMeizot+rXKhzh0hz4t+jTBtbUMSUBS7hiSTOI4lkYrWQG6GRniRgEgNjfCKAasc2iaHsYiXJTTIaMafjkW/nkLGIeNRx6I//cYzxjoW2rzIWKReUGjw5SHPi6HO9/7MBtrSxiSgClJj0tHvVAIqAZWASkAloBJQCagEVAIqgWYlgfBixppV9ymzKgGVgEpAJaASUAmoBFQCKgGVQJYSUAUppTRx3YeYPA77ylfKQeDIaYzFEJPHdSw6MsCKaIaOxSKE5cipoc73OhYdGWBFNCPUsViECPRUhyWgClLKzgE+9IUXXkh5tj+nAWc7ceLEIFHsnn32WbN48WJ/OiNlS4FVBpo9NALNiLEY4qI5Y8YMQegLrc/mzZsXJAQxiIOTJk2SnJbQ+uypp54yn376aWhsGco6vPHGG8HxBVLklClTguMLhp544okgS3EE2VnNkClVkFJ2OgANvEIjNqM26T803kLtM2pXhTwWQ/SO0V/0W2gU6jMGX8yNeCVCo1D7LNR5MdS5g+cqZN5CmzeaIz8/bY5Ml8LzyiuvLAhbpfzW5d+AZrTmmmsGiUK1xhprGPotNFpllVWC3LiBpMhYDBE2OuSxGCKC3S9+8QvTsmXL4JDemAt5xlZaaaXQpkWz6qqrBmk4Yiy2atUquP6CIZ6xFVdcMUjelCn/JaAodv73oXKgElAJqARUAioBlYBKQCWgElAJZCQBDbHLSJB6GZWASkAloBJQCagEVAIqAZWASsB/CWiInf99qByoBFQCKgGVgEpAJaAScFIC5PItW7bMADjB6+uvv5acTIq5E1JNqD+hhIRJrr766hIGGmLxeic7RxvVoARUQWpQNHW/AO3tm2++MeQShERMXEuWLDHrrrtucPH2S5culRykFVZYIaQuk3H43XffyUISEmOAM3z88cfmV7/6VUhsCS+fffaZLP5sBEIikAdJjl9ttdVCYksAGkB6Y14MjeCLTWhouWNfffWVAA61aNEiqC4DyIC1bJ111vGCr4ULF5rXXnvNzJ0717z99ttm0aJFssdAGWK/8ZOf/MSg/DD+UI6Y9+GR73mHlltuOclP+vWvf23atGlj2rZta9q1a2f+l733AJ+iWNb/+9zjvVdRMSEgKkkUEVBUFBUJB8wIGFFQUFAxgQExAGZUBDOCijlgwICKCkpUlKQcUEkCKpLMXhHDPZ7nPs//z6fPaX7DsmF2d2Jt1fMs+2V2pqf77Z6erq6qt/bdd197bSqA0EqmHgFVkHx24Zo1a+zirXXr1j6vSMdp7OTMnTvXHH300UaaIrFgwQJTt25dU79+/XR0hs9aQl3+008/mZYtW/q8Ih2nscBhLBKQLG3x9sknn5iGDRua2rVrp6MzfNaS9AfMIS1atPB5RTpOg+YbKv1OnTqJ2ziaP3++adq0qbiNiC+//NIq682bN0/HIPNZSywuzIsdO3b0eUW0p61cudJMmzbNfkiF8vPPP9sNE+Y6PkcccYSpUaOGtQpBMLTNNttsfKbY6HOKErVmI5r3AG1GkeezfPlyM2XKFKtkscHE2G3Tpo1p166dOeCAA6wyFW2L9W6VgoAqSJXS0wXaKZHOtkCT9WdFQBEIAAGJc4drk9vxDgCmxBTh2paYCmlFCiKQtD5DGX399dfNa6+9Zi1FbGph3enRo4e1+MCUWIrgZudY+7AceQXladmyZWbJkiVm3Lhx5p577rGK2HHHHWc6d+5sDj/88I2Kl/c6/VsRKBUBZbHziRyuJHxq1qzp84p0nIZ5mx0gLC2YviUJroP4NEujEV2/fr1h500a9St5Z1avXm3HoqRxSFvWrl1r3Zp4+UsSLC24xkDXK0lw9cFrgHlRmtAu+ktajAeWC95n0tzgcWHlXYa7WZzCc45i8swzz5jZs2db69AhhxxiDj30ULPbbruVVDWeM9zsSll7YGnCyktd8BZhbXbGGWeYrl27psYdsSTQ9KLIEFAFKTKo9UaKgCKgCCgCioAioAikBwEUz6eeeso8+uijNv4VSw1uc0naPEBZws1v6tSphnhPLEoXXXSRady4cXqA1pomDgFVkBLXJVohRUARUAQUAUVAEVAE4kMAT4VRo0bZD14Yxx57rFWMkm55hCACS9fChQttna+66irTqFGj+IDUO6cWAVWQUtt1WnFFQBFQBBQBRUARUASCQwBXZyxGw4YNs/TbJ510kmnbtm3qyBBg0xszZoyBIAe3uwEDBohzSw+u17WkbAhoothsqGQ5Bs0mtJXSBP9m/HiZFKXJ4sWLLdubtHZ9++23ltlHWrv+/PNPOxaJI5Am7GauW7dOWrNsbMQXX3whrl0EhMMcJlFYMGIdkCbEL8KqKE1giZw3b14kzfrwww+tMnTrrbdaN7V7773XssVBux2GsP4Ia75v0KCBGTRokLnhhhvMrFmzbKwUFrGw7hcGPlpmvAiEM+rjbVMod2dxg2+rNGFRSgAoAZjSBEWCIHJpgk+4xLEI8QRjUaKyTn4niWMROl42j6QJOe8g1pC4mOIZI2ZDmpD6gGSk0gQFCWKNMIXxfvXVV1uliDx0w4cPNx06dDBbbBEu0TFzfdgMfcQhDR061HTr1s1+w3oncbM7zPFRqWWrguSz59lBCWsXxWcVQjkNBhnEfYdyk5gKpU1S2yVxLLo2lcJoFNMQ831b2iZ1LEptF+NQ4ljUedH3Y5uIE8OeO6DNPuqoo8yECRPMddddZ8kNtt1220S0PahK8BwfeeSRlhqcvEvkfXzuueeCKl7LEYqAxiD57Fh2EqGkJFGZNMGKlPTAy1IwxyrGZChtkcNYZOdNWjJV+ljHYikjPb5rGIeMRx2L8fVBsXfmGeM9Jm1edNaIsK0exeIdxPlhzYsoCcTmNGvWzFx44YWRp8SIK8/Y22+/benKSb57xx13mK233jqIbtIyhCGgCpKwDtXmKAKKgCKgCCgCioAikAsBYuyuuOIK88Ybb5ju3bubY445JtepYo+T7JZks9tss4157LHHbIJbsY3VhpWEgCpIJcGmFykCioAioAgoAoqAIpAuBIhhPfPMM21S7n79+pn69eunqwEB1hZF8YEHHjAQOj399NOWyCHA4rWolCOgCpLPDsQUjCuJRH97XBO0XT4HQgJOYyzycTE7CahSYFXQsRgYlJEUpGMxEpgDvYnUZ0zHYuFhAkFHly5dbLjAwIEDzfbbb1/4ohDPoM+S4Or55JNPmsmTJ5uHHnrIQOKgogiAgJI0+BwH0IfOmTPH59npOY0dlPHjx4tksZsxY4ZZtWpVejrDZ02hVYaaXZr89ttvdiyygJMm06dPtwx90tq1dOnSyCiIo8QOxkGC1lnASZOpU6ea7777TlqzrBXg008/FdcumCInTpxYdruWLVtmjj/+eBt/duONN8auHNEgYqvYeI5bzj77bHPKKaeYc88918YmxV0fvX8yEAiXwzEZbQykFhA08JEmLEZd0L+0tkntM3JHSB6LEi219Bf9Jk2kPmO0i7kxKTvcQY4bqX0mdV4MYu5Yvny5pfDea6+9zCWXXJIoUpWkbEKccMIJpmrVquaaa66xc3WvXr2CfOy0rBQioAqSz06D9pLdDmkCm1G1atUSNWEGhfFOO+1kpNGVgg2TeFJeKkH1FeXApMhYlOjuKXksSmSw22qrrczOO++cCPefIJ8xyuIZk8jahbsYyoQ0YSxWr1695GbhVnfaaaeZPffc0xBzlASXNtcY3MSTVJ927drZtdC1115rmLM7d+7sqqrfFYiAxiBVYKdrkxUBRUARUAT+hQBJMmG0wnWVZKO4epKck8TFVapUsSxXKBQ1a9Y0e+yxh6lbt67IDSUdD/IQIME9VNZsYgwaNEjHrc8ufvPNN22epOeff960atXK51V6mjQEVEGS1qPaHkVAEVAEFIGcCBBPSnziBx98YGbOnGm++eYba5HF2swHqzof8ungtkU+NbwHWGyiNHG8Xr165vDDD7efli1b2t3mnDfUHxSBGBBgrBJX8+OPPxpijlD2VfwjMHr0aDNlyhTz6quvmn333df/hXqmGARUQRLTldoQRUARUAQUgWwI4GbEQofEmMRjbLfddtYSBMVxjRo1rAsTrkyFZP369eaHH36whBtYnVC2UJ5atGhhunbtaoPgJbr1FsJFf08eAn369DGQw9xyyy2JIGRIHkKFazRy5EgDuQXEJjvssEPhC/QMUQioguSzO2F7wxUDv1RJQiwLi4datWolyhc4CIxZyLBY2XLLLYMoLjFlMA7ZHdxxxx0TU6cgKgI5A7v5u+66axDFJaqM77//3i5SsExIEtzRsLIkdfEA2yPJIN0Ch53gZs2aFYzpYF70QxbCeatXrzZ///vfzaJFiyyxw6mnnmr69u1rFbAk9jUMdswd0mLHfv31V9tnKL+ShLgq3mW77LKL72a98MILpn///mbw4MHWLdT3hRGfCBFK0uKQvBAwt+GayEYKmysqlYWA0nz77O81a9bYF6DP01NzGr72c+fOFUlAsWDBApHUylCXL1myJDVjzG9FWeAwFnkpSZNPPvnEfPvtt9KaZS0o7LAmTWbPnm1OPPFEa9FB6T7vvPPsgvGoo44qqBzRFhQfXOv4zicEmNeuXdvea8CAAdal6b333rMJJy+88EIb25Tv+jh+mz9/vkFhlyZY9LAOShNovpkX/QrPI0xsJIMlZi7JwlzPRkRShU2Eyy+/3LriYk1SqSwEVEGqrP7O2dpCC4GcF+oPioAiUNEIJGnuYOGPYgL7FNatyy67zC4UIVYIW2BfbNy4sb0/eVXmzZtnWrdubYYNG2YtvmHf32/5Seovv3Wu9PP89hmeLuecc45p2rSpJjwNaNBguevdu7e57bbbilJUA7q9FhMjAupi5xN8XrZ8YDKSJOzerFy50rqDJIluMwiMcR2E+lVacCpxELjYlUP9GgS+QZeBuwXuSlEsZoOue6Hy1q5da92a/MS5FCorSb+TUBVLC5TYccuzzz5rrr/+eutWi4KEZadUYUHKeISQoRzBckgibty+7r//fnPYYYeVU1wg1+INQX9Bqy9Jfv75Z2uNkOYGj5WFd1mdOnUKdhfuYOPGjTN33HFHKt57uA+ysZCGtceoUaOshZK4Lmlu+wUHVoWeoApShXa8NlsRUAQUAQkI4CZMvMXrr79ujj76aAOrXJIWXJA4oCThJnX11Vdbq1aS6idhDGgbjI2DO/74483AgQPNfvvtp5AEjACbkrjbdenSxdxwww0Bl67FJREBVZCS2CtaJ0VAEVAEFIGCCJC76IwzzjBYsrp162bJZgpeFNMJxESOHTvWHHLIIebRRx+1CZ9jqoreVhgCeIK0b9/eJgGGIEQlHARwm8VlFvrvRo0ahXMTLTUxCGgMUmK6QiuiCCgCioAi4BcByAY6dOhgcxaxKISJM8lCXAj1hGClU6dOIokSkoy/5LrhXgrlfI8ePSQ3M/a2HXDAAWb//fc31113Xex10QqEj4AqSD4xhmbzs88+83l2ek7DvxkqXPztpcnixYvNTz/9JK1Zlg1NIlsTrkiMxSSzGpU6mBYuXGgTjZZ6fVKvIzYCK07UQhwALHXEq3Xv3j3weBpikIitClqg1ybgm3jWY4891i5qg75HofKIiyKOUZoQv4iSIE1wIcVykUv4fciQIfZ5SBvFedJZ7LJhjhIKS+bEiROz/azHBCGgCpLPziSLukRqVBalLHLCWAz4hDa006BVxvVGmhCMLHEs4uPNWJSorEM1LXEsQkHM5lGUQiwPShG7ueQcIo9K0OJIGvyyhxVzf0hjzj33XBvoffLJJxvyEkUpPGNQ6ksTNsN+/PFHac0yKEAQa+QS3DWJacOamjZhrg/jGQsTB1jt2rVrZ26//fYwb6NlJwCB4N8sCWhUGFXgJRzGiziMuhZTJgwyiPsu5tqkn0ubpLZL4lh0bZIYwE7bpI7FKNtFjhdijZo0aRL6gjDMcUh+FZQ87nHaaadFatHReTHpb65N65dv7kDRJT8P1lRpiX83RSFZ/zvppJMso92bb76ZrIppbQJFQEkafMKJ2w+UlP/1X//l84r0nIYVSRrlK+hjFeOlEeZCJ45eZiyy8ybxhahjMY4RVfo9GYeMxyjGIpZTAtFxI4KYIeznmp3tsO/xxx9/mIcfftjsvffe5sUXXwz9fvQ0zxjvsbDbVvqoKu1KZ40ol5q9tLuHe1WuefHBBx80I0aMsBTyaWx3FM9YWD2D5Q4vFXW1Cwvh+MtVBSn+PtAaKAKKgCKQeASIFyAWgtg+4o5wDSOWhYVp1apVbW6d+vXrW3an5s2bB56HBaUIJriLLrooEoUsqg7BTZEcSSS17devX1S31fukHAE2bA866CDzt7/9zZxwwgkpb036qs/8d+mll25kpkxfC7TGhRAoLwteodL1d0VAEVAEFIHUIsDO9TvvvGOtGxAjECdGIk4SMG+99dYbLRHEVy1dutS89dZbNg4Et6CDDz7Y5gzp2LGjTd5aDgjslL/33numT58+opQjMIG4gVgk6IOhAE9CMtly+kqvjQaBCRMmGJTro446Kpob6l02QaBGjRrmwAMPtJT9PLcq8hBQC5LPPsUUjCtJlP72PqtW9mnsAGu7yoYxsgIYi3xczE5kN47gRhLGIkHVc+bMMYsWLTKff/65JTHA0oIbK5YWmNcaNGhgFYg999wzAlSLv8X//u//mieeeMJaNqg79WzYsKGpU6fOJu64jEPE667FzjaMYsQLoTQxTiEluPDCC60yUGxtsFa1adPGUmOzIIlKaJu3XWHf99VXX7UkJTNnzrQEDmHdT8Izlg2bSpsXiV1jfGJRTatE/YwFjROMkGxsfPzxx3bjKOjytbx4EVAFySf+K1asMDBRSdvdYyE0efJkm4FeWnwVO94sRmvXru2zl9NxGotuGJtatGiRjgr7rCXUx9OmTTPHHXdc6hR23M8I2H3hhRcM4w5hh9FZWlASWAwQF4fCAdsWVhcYkcjM3rVrV7PHHnv4RCrc08aPH28GDhxo64cLD2xxuWKMaDftyjV3sKmEWxwKIwtz8odAk1uM4gFTHSxeKFlRCfWmr1Bqi6lrOfXDWnfPPffYdl599dXlFJX32kmTJpl9993Xjs+8J6bsRzYkGI/NmjVLWc3zVxcrEc8PtPBO1q5da3BjHTx4sNlrr73c4dR9Y5Fm7kjrZh9z38UXX2zzm51//vmpw18rnB8BdbHLj8/GX9kV5SNNWLSwGOBbmkjtMxYBksdimiy11HX06NF2YQvdNYsVFvQo5d6gaRYC/N97jNQBWFleeuklM3z4cIMrGopJXIoSmyUszMeMGWMXX6effnpOxcjvXMHCZ7/99jMkSSXHFe1DkcRlrlq1agWLGTdunJkxY4a55JJLCp4b9AksfqIUlDE2B4hHOuWUU0IbBzovRtmr5d+L/mLO9wrPRfXq1VOtHLn2RP2cufsG8c3mScuWLW0ckipIQSCarDKU5ttnf2y77bYluYf4LD6209i9YaGSa4c4tooFcGNiJeg3aYKb1g477CCtWXa3nrGYFndPyArw/2fRX69ePbuL2KlTJwNRgVcRoqNQFDJ3SbEuEafTs2dPc+aZZxrcNVq3bm3uvPPOyDcsCDhmhxrrEXUhz4efOYEFQma7sg1MzsHi2atXL5twGza6Qom3UT5vvfVWG5ez8847Zys21GNxjEMsO7vuuqsdA2E1jmeM+DFpwvPER5pstdVWVhnytuu1116zz4X3WBr/Zl6IykIbFj4oSMzdq1atCusWWm5MCKiLXUzA620VAUUgvQg8//zz5qqrrrIxOcccc4zZZpttAmkMbkKQIrBQfvzxxzdbGAVyk4xCcF9DsUMhwXLBgixMwVrNDjgUuS+//HJOl6jXX3/dxldg1ZK4oM+FMTFX9P2sWbOs4p3rPD1emQiwmYFVdsiQIaFZGSsT2dJb3bdvX2vlPuecc0ovRK9MHAJqQUpcl2iFFAFFIMkI3HHHHebyyy+31h4UiqCUI9rcuHFjG4OC0oJFh9jHMIX4BtrATi4udWErR7QFywy0xLvvvrtNkopCkE3uvvtu6+pXScoROOBiudtuu1m3y2y46LHKRoA4TXKBxeWKW9noZ289Ciux3CqyEFAFSVZ/amsUAUUgRARYtBNIDy0zBAZhCC6U5PzBTe/EE0+0zGZh3AeLEe59sO7RHj8udUHVA7ca4m2guO7WrZuBoMMrs2fPti54sNdVouBqiXUNQg8VRcCLAHT3WJhVkoMAxCBYfCF2UZGDgCpIPvuSAGaYw6QJAZIw4qQ5UDJXnxA0T3C8NPnjjz9s/gtp7WLBzlhMqrzyyitm6NChpnPnzpb2uph64lZWzDOGsgLZA9YW6HyZf4KWu+66yyZ+RQnLxUJX6J70GZ9SBKsVrn0///yz6d+//yZFQFwBFTo75XEIfRUncU2jRo2swgqhRdCCi1Zm0H/Q94ijvF9//dUyL8Zx7zDvCUkDDLpOWIgzPiRIsfNiUtu8zz77GFgoP/3006RWUetVAgKqIPkEDZcX4gOkCbvHc+fOtQ+3tLZBL/xaU9mdAABAAElEQVT1119La5YNBl2yZIm4drHAYSwmcfGGG1i/fv1M27ZtbT6gYsGnTcUuuLEgoSQRqzNgwIBib5n3/OXLl1tL2NFHH12WEkKbymFURDFDSRo7dqyZMmWKrTObGgSh77///nnbEOaPKEjsBhej1AZZH5THJk2aGGLdgpb58+eb77//PuhiYy/vyy+/NIxraYIbLPMiwgYSypIUBYl5sdQNliT1c5UqVazLMEydKnIQUAVJTl+W1ZK4FgJlVVovVgQiQoCYo5o1a5pDDz00ojv+6zZbbrmljddhoezyKwVRARQuYoCSsNAiFxTKEHVC4aKdKEkoCJUsYEL+GyzhQYrO9UGiGU1Zrs9gS2MxDtOhSrIQgL2UhLEqchBQBclnX/IST3NCtlzNZLLFn5mFmDTZe++97aJWWrtq1apVtItXGjCA7IBg1yhjYfzgApsaO7jeRI1+rvOeQ5tKpY1mMQQu11xzTSAWDdpCHMPf/vY3bxVL+ps2ldou7w1btWpld8exJJH3qE6dOrGOA2Kk6LM4KYhRYCHNmDlzpheqsv8mJ5WfHFRl3yjiAsg9Bt2+NCGlA88/AjW+pMTnWMmxlkoQ5ixSP6jIQUDGyIygP1i8sYMsTZiceKnEuRAIC1MUCRRAaUIQP0kCpQkL7bp16yauWeQlIgi3nBwrtK2cZwzXPhjtoMcuV0aOHGkV7CByCzF/BKEgoQiwCCRJ6rvvvmtzSZXbznKup68yc1mVU14p11KHuhueh/fff7+Uy3NeA0MeSWmlCYoEue+kCYo6i28EN3/6T4rwjJUzLyYJB/oIN88kuognCac01UUVpDT1ltZVEVAEIkWAxemyZcsid63LbKSz9I4aNSrzp6L+DyECeZZQ+JImBxxwgFm4cKFdBCqF8b96B7edDz74IGldpfWJCYGvvvrK4M2ikjwE6BfiMYlXV5GBgCpIMvpRW6EIKAIhIPDiiy/afCPbbrttCKUXVyQxKQQBl5MbCeUIYoQkuiJhAcD1ix1YXQT+a2xgBWdRrPTBxT0rUs9evXq1SO8BCf1FygIsYvSRigwEtpDRjPBbQaAsNN/EtUgSFiMEFrJ7G4SrTJKwwR+4Ro0a4twuYDWD8W3PPfdMEtxl18XRpB544IGJ8UufOHGiadmyZdlt4znj+SrH3x4XX1yIYHs799xzS6oTsUfEMJRTD++NHU1vUO5oKKLkRIo7Do2gePqsVPpzL0bl/I0bJBijJAUVA0ugPwoyrrqShIUpWOGWKElgml26dKlde5AXKwjX2KTgE8S8mK0tsI7ijsw4Jyk1G11YzYN6hrLdE1dB5udimHPvu+++gi55559/vp0PR4wYsdlt2VTCykzb+NsJ7eVZ6Nq1qzu08ZvnZMyYMaZLly72XcB7F9fmfHLmmWda9sQHHnjAwHxKcvFKEFWQfPbyunXrLDWqNAWJh4MHGsYo4gAkCYoE5BPS/NJxk4L6VZqCBHMZY5HJPqgFfDnjGQWbTZEgrC28rHiBltsu4g9w+ytVQSKHSpDscFD0OoatcrB216KQ8KKnzDhjE7g/fRZ3PVAYmZdZ8AW1uOMZw1InTUHiWcXFSaKChNsWcaeMxyRYs93zWu43z1i5c2JmHRgDpGQAJ/fM4Jp80UUXbfx/5jVB/Z978n72KygmLscdyiIb8cx/3rUYSg7rmCuvvNJgUfbGH6PsMO4h8iFnmnOdpr28T7MpSMRJURYeCWyWkVeR/zMfEGufTdq3b2+VNHKokXqCTbp27dplO1XUMVWQfHYnD3HQD7LPW4d6mrMaue9QbxZx4bRJarskjkXXpjgXxt4hCmMUL40gFiS0KYh28YIkv1cpwouYHCpBsNeVcn8/17AAZIHAIiduK1IQ/eWnzYXOgRyEzZ6gRPK8KCGnTmY/My/SZ27hHcR8lHkPSf9nM4ENbRJhk2w6SkHBYPPSr3z++ecbT8Wyi4Lz8MMPb2ahQQlCUGQuu+yyjdcw3j/88ENr1bn00kstO+nGH4v844YbbrCKZb7LsMrh4aEKUj6UKvA3dpGhXZUm7FQcc8wxsbuShIErOWviXmSF0S4m/SCsGmHUrZwyefEzFoNy1yqnLlzLTpvXbaGc8oJy1XIuHOw2Fju2V65caa0i+MoHJUH3FS98GNbYWS62fUG1iXJYlFKPJChJ1AO3w6CkTZs2Iuf7ffbZJ1BrZlB4l1sO1r4jjjjCkOAX8VoXyi077uvDeMZwSUTYTMonbBahlGBpYew4a5O7hrmITTLcGyGN4fd58+ZZJcax42LZ4xjzFe9k2oNFBmFDiuPZBIU3iH5knjrkkEOspejxxx+37nphz5u4eOLqWQmiFiSfvcxAZODlcrngOJL5Qs11nHNL+a2Ua/Ldi/JyLd5KuVcp1xSqH79n4prvGvcb/ZV5XZLql61dfurHWOTjlVzX5TruMMpWh3y/hV0eLxgnpdyrlGtytZddSFwbKDNzHOW6Jlfd3fXl1o8XMy9dXlAoS8WUR9wa57s2UVdXr1z1dsf5znYvd32233Jd48rMdg1kBIwBfuPjys93TTm/ZauDK4/vbHVwx/mOon7Mz9kUpHx1z/Ubxykvs9752pTvt1z3yXdNvt/KKY85MbNd5ZRHPZNSHs8EmyJuQyJXu3Idz4d5vt/CLi8TX+pSrhA2gOTzHiG3He5tWHxwMyO+p0OHDoaE4AhlXHLJJVZBQjFavny5VURwUX7qqaesG+ekSZPMbbfdZjfO8TTAJZs52SlauKVxfjY5+OCDbRLobL8Ve4z3Afdu0aJFJJtKrKucElpsXdN2vipIPnsMX092ChBMjN5cBGQ7xwWCB5IANqfBM6G9/fbbhp0IWJl4KJxoef8vl4Pi9592WOh4SdbzgULBC5wdRp5t70YCLyXHLMZx78uY4/zOtSxs3CKAxQYvXr5LLc/NLexS8lIuZn7hGq7HfS2s+pXbXrCjjnyHgV+59eNBDbN/s9WPe7JA84q+Pyrv/cG4Q0GKevyVM19lG8/ZyvOO7XL/ZvOIOYR7Z5OvNhCeQI5w+umnm169ellMSS9w8cUX21xsxNZARrB27VqDVQbrEc8bibq98swzz5hOnTptVKpYH/bv338jzffw4cPNL7/84r1k49/M3aUICpezXoEj8YSTJ0+2itjzzz9fSpEbr3n55ZdtSouNB/79R70NlrGrr75642G8KirFgvSXDSD/y/Sxsfn6RzYEWLyyo8wu1XbbbbdxJ4dzWXhgTmXRk5lMkmtYjDCovSZVFinu4Ym7PCZc3JuSWr9S8WOBlelOlIb+KNReJlfGmrMipX38edvL37QtCc/HgAEDLCHCSSedZBfrTtHhmWfadFMnx72/sSHixPUR53KO+y3zGr/l4d9OAC4JIwnWLWY8z5492xx//PHmqquu2lhfVz9X32Lr5603ZZRbHruzbD7hasl8VG551Mm1qdj6cZ3rp0L9S9mIu5e77l9Hix8v7jrKe/LJJ82RRx5pbrzxRne4rOdD6nzPWOFd6h0zxTwfDtwkzqeMJ/JhnXHGGWb06NGuqpu0lYNhjD/KDXI8e8tz8yLHghDaTywN7xGsO06w5kDScPLJJ5sHH3zQvPbaa+aVV17ZhJSA31kHDR061DDnQ2Jw3XXXuSLMo48+alCKnAWJ87HsolgRO4RChlJUdwOLIsnFixUXg/TSSy9ljUHC1RKLF2tJnmHGNmMdhrmePXuatm3bbrwl7WVjb8aMGRuPuT9gMuVcFCvOI7aNdRKKYLYwkkaNGlmF0V3/xBNPmCuuuMJarWBWlSxqQfLZu/ia4rN62GGHbXYFA9Zp9Zk/ZipM7nd2gnKxq0VZHg81rFhYvrySlPqVg9/06dPtZIUJ3Uk55bkyvN9xlEdgJ0GbmNSRKMdLmO3lZTNt2jRz3HHH2Q2IuJ8PXpa8iLwLLtf3mQsGd5zvbOdTDs8Uyl828VseLz3OdTuQxfSHYyhiswc3u2ySre6cl6t+KLIscrzWNW+5xZZHOdTPuwFQTnlcm6sO+X6jTdTDuwPu6lFKebnwy1cH9xv1yOzncuZnXIP23XffTTbEyinP4eL9jqM8Ng2Is3NMXtQnEzdXxzjq5+7t/fZTPzZF8LLgXMZC1OPPW1/3dznj2ZXBNxZ1nvl8bfKeX+hv2D0py6scZV7DWo77ZlJVM0fj6YPiwfv1oIMO2uRSPIBQkJzAlHfttdfaDSfaQKoU5g3nYnfPPffkzFmHEsX1xcrgwYM3kjQQk9axY0dr9cGrySu8u3788UfvoY1/O9Y89z5wP6Dw+akTyhhWONoAQQRziVRRBclnz7IQ4CNN2Glh14VvaSK1z3hJSh6LjMdcikSUY5QXAC/LIIQXJ59yhcUSO4m5FJx85UMFy8KGNiV15w/XGBYvQS2Y8uFR6Lcg+qvQPfz8zvOeuZjxc12uc3RezIVMMo/TX4wB98zzfORyH0tmC/LXKsjnDOUYCwl02V46bG8NmGOYQ1E2MgXF2W32ZK6JMusJWdJzzz1nLSkoCmw0Q+zDPIvwN7FB2SSz7GznFDqGhQtWOUgaunXrZoircvNmw4YN7WZjtjLY6EdKZfhDeRw/frwNGcml4Ge7bxqPqYLks9fQyJmYpAmTAZMFk4Y0wQJBv0kTrAeZk7WENvLSZywmQTkCT3YCcT8IYkHCi8u9vMrpK/JQlJqLDd9xXCnYWQxKQcq3k1xKOxnX+LezUIlbkjIOHSFHUHjwjG299dZBFZeYclisSdw4wtWUxb5j1MTSLkVBYk5kDglKIFYAG1zccAXLJmx84anA2ge3Mie4LuPeS37BOnXqmL///e+WuMH9zv+dYG0iTokk4liayC131llnmWOPPdasWrXKnlYo+aorq5xvrFa4AV5//fXWdRB3PwQFiXmDmCXYfL2CUsV7IJeHhvfcbH8//fTTNjyEspMwT2erY1DH4n8LBdWSkMthQRHUoiLkqhZVPJMED7lE2W+//SQ2y+5QuV0qSQ1khzRJY9G5IeFOwAunHHG7kuWUwbW4h/AiLlWaN29uywgqWWzQL0ish+xQBqFMlooR13H/oPqsnHrgUslCx7uQK6c8rs10HSq3vKRcz8JXorDJh5WAmGWUCchjSl3cJg2fMJ4xKLtfeOEFu4mYTfk64YQTDHE+d999t43dQSEiJgmSA9jsENzIbrrpJutdg9JD/BeEOE6oN/2AEkRMZ/369a1CxWYa949SII+gPcTMdu7c2Sp5xFpBRMH/Bw4caK09zCPEXWFpenJDXGOmQDKBRSybsJZq3Lix/WnmzJmmadOm4pUjGqsKUrbRoMcUAUWg4hHgJYjCRh6MchWkIMBkgYR7RFtPMG6x5bZu3drgG59UYXecD4pS3EpSEjDCVYhFHgswlcpGAAIKrEm42UpVBoPoYTbamD/YXPAST7mysTSiHA0bNsySDXAcJQmKb7dxRDJt3OBQmiB9wGp//vnnW4XIuTr27t3bKlQwvDmrHsos7m5RCt4/jzzyiI2PJ44ICxFjBYWOOt56663Wa4DNLCxOKHU9evTYrIrPPvus4ZNNKMMpSOCay30x27VpPqYKUpp7T+uuCCgCoSJw2mmnmT59+tgYgLjdUD/99FO7MOIlV6rADkdgMYoWAclJEoKHnULAd40aNZJUvVjqQvoIcAgyBimWhuhNA0GA5Ke42arkRsApRd44nylTpmxyARtejz32mLUC4S6XaZFbsmSJtbSSoNfJO++8Y/90BDk8l8QxcZ/vv//eKmPnnXeedc9z1xTzjZUml+s89cv1G/eAsMnbXo4xv7/xxhv8aclLcrnW4rqZr2xbgOcfFCQpLp6eZmX98z+yHtWDmyHAyxvXD2nCgwHffzEPSFowYJHFwyxNoKFlF1GasOvHWEySoFCwK+j1Py+lfry8ynnGiK3ABYK8HeUIvvWwMUEpG4TQZ3yCkAULFtidSepIgHOcQl9lLjjiqM+KFSs2iyEotx4ssAn6lya4PLnUGZLaxrPvAuvJSSNJQSp3XszWz1hPEJ6dQsLcnqkccQ3KE1TWWIYQ3rfE3kACkclYTKwiyghKEtZeL2uuvTgB/zCnBhF3yNqDeRpFvRJEFSSfvYzvPzSi0oSMyHPnzhVJQMGDTCI1aUIQKDtc0oQFDmMxSYs33Cn69u1raXbLIWmhTeUsuD/66CNLpJLNNaLYcXDBBRcYEiMGkQ2dNgURGE859D0uIbgQfvHFF8U2K9DzUZDYWS5HqQ2iQizyWrVqFURRG8uAHpjFnDRBqc5MqCuhjSzOeTYQXL1Yi0gR5sWgNlgcJuTyQZHB8l8qUQLudDz/JIIloeyJJ55oLUTEJeUSksmiOGQqULnOT9txiC0gd+A9feqpp6at+iXVV13sSoJN3kVxLwTkIaotkoIAVhsyqvOCwKIUtRBcS5DwkCFDAnn5kiyWnWjKzMx/FnXb3P2wjiFgPXHiRPPqq69a5SRbkLW7Rvo3bIOwKAZNXKJzffpGjuszknZ6E8WmryXR1Piuu+6ySmWpVhNikrAYsZGwbNkyS4ldiKQLMh8XwxRNK6O9C5iQB4pcoBJJorKhqRakbKhkOYYJ1SUAy/Jzag+x2wFblws8TG1DslSc3bZCk1qWyxJ/iF0qJitpQpwFfthxx/pk4sqzwQuXnfdSLRu0qRTaaHZXYR1iR7R79+6ZVSvp/ygdBN1+/PHHhhiXcoQ2ldIu7z2xZKGswbaEywsB0uwsx2kNACP6LE4Fjf7hOQ+aoAEGKuIRpAmuTSj+0oQYEcfIygIcpVmKuz/EAWGQsVAuzH+M9XIEMoLDDz/c1zoCBUly0lQo0LEcVYpyxLhRBcnn08PiTeJim8mJl0qcCwGfXVD0aVLN3QSJSmSRYaFdN6FUvW3atLEuGygruTKU5xugtK2UZwxrCi4NDz/8cEnX56oTSggUsG+++WZZLo3MH+UqSAQSszMOtS6CG0f79u2tQpqr/mEfp6+CpjAvts6QcuDeE7Sw0JEYZI0ikS2eJGj8oi4PRZ0YEoRNWmJsPvvss6irEcr9eMZKmRdDqUwZhbKhw+YZaRRU5CCgCpKcvtSWKAKKQIgIDBo0yFo3oH5lFzdseffdd23cI64eYezaYRXDgvzWW2+F3ZSc5ZP1nt1waGq9O8mwBxLzSRxAJQpxhiji5DNRUQQcAigT5LGSGIPq2pjG788//9zGUh144IFprL7WOQcCqiDlAEYPKwKKgCLgRYAFPNnWWaA89dRToRGA4FY3fvx4y5xHNnhcRcIQLJG0g6DvyZMnh3GLvGUSd/Thhx9aTDMth0ceeaQhX8ns2bPzliH1x/fff9+0bds2FMVYKmaV0i6s2ZCsqCQHAdxhcYPERVhFDgKqIPnsSyijpZi1vU3GNAxDVjkMW97ykvT34sWLxfhqe3ElbiTO+AxvXYL8G5Y4xmLQrEZB1pF4JIKkycaOZWfWrFm+mM78sjVhmaJcGJHGjh1rvHk4gmyHK4uYBgJvWXC5PB/uNz/fpbLYzZkzxypl9957r0EZyhSS9MJCRWxSECx5meUX+j9B8XFZr3jX0B8krgxDoHiH+EOa8MwQByJNiNFzJCa0DfdY0iFIoPv2Oy8mvU95prLNY0mvt9YvPwKqIOXHZ+Ov69atE0mNyqIUKuy4FgMbAQ7hDxQJiXkxWERLpOklZxVjMenKOn7zLOz5YAGB4a7Qwow25VP8aDssecQaNWjQwOBeh6UqCiEI+ZVXXrG5h1588UVDzje/QpvytSuzHJSdCRMmWMWHtuaLsYHSHKxRmqMWFCT6zLGHRXl/xgGJH8OyHPKMEdcmTXDVLCU+MOk4oCB5qb0h7iAmiU2GtEtcz1iQuDHmoJgPezMryDprWf4QUAXJH07WP97rI+/zssSf5gKs3XfiK1xEBWmT1HZJHIuuTWkJ2mVxjwtY69atDXFJuKvBdJctXxJtytYuEkC+/fbbZsSIEYa4kwceeMC8/PLLhiztUQrJY7EgEbyPwheGhZJdbzDCQgLZBSQR+QSKXnJQTZkypSilLV+ZxfyWrb+Kub6Uc1kI465zzTXXlHK5r2t0XvQFU2JOYl7MfI9hwa5U99PEdMy/KzJz5kybHFYyg13SMI+qPn/ZsEP2/0V1szTfh11Sdj9x/ZAmLOgkshphFYubqjeMscJYZOeNtkmTtI5FdhAhGsASg9USBkVYL2HVggGTeYM+o31YAFESUBhwdUI5wVpCQH7czGlYsm6//XYbFwRtMtYl2pJL3OsjnzLBzv6MGTNsYPkpp5xiKcZhHPMjuOAQcwGzHckaoxTalq9dQdeF+40cOdKOB2LdwhLGIOMxyraF1RZvuc4aEfcz5K1TUH9nzou4YML0yMZK1JspQbWJcqJ+xoKsuyuLzQxyy5GmQEUWAqogyepPbY0ioAjEiAALelxfUAjwS8cSg4Lwxx9/WIUWZQnFgxxduFFhfYJ2OWkCSxaJabFuwaDXuHFj07BhQ9+JatmcoO0w0a1YscIu+mEBPPTQQ4tuKoQFKFYXXHCBxa7oAlJyAWPm3Q2ulexIS0wpkZJuSE01iUWC9vuMM85ITZ2lVRTX6iuvvNI+s3vssYe05lV8e1RBqvghoAAoAoqAIpAdAYhpIKV46aWXrKLHwn3nnXe2ljEYm5wlAoWIWAn88VEIiXOBQhw3OhZwWMnKkUsvvdQqa5dcconIpNa4Wj744INWKcWaqKIIFEIAhsuhQ4facZPpglfoWv09GATwGsBjYNy4ccEUqKUkCgFVkHx2B6ZgXJskTkS4Jmi7fA6EBJzGWOTjYnYSUKXAqqBjMTAoAy2IfsEihnUD956lS5daN8HffvvNzotYxnCDI4AcZjwIBkiaGJTrLsQRBEHjVtq9e/dA25arsKjcf1Au77//ftOyZUvrppmrPkEdl/qMVdq8iHvu/vvvb3r16mVatWoV1PCItJyonrEwGsWG0IUXXmjJeogJU5GHgCpIPvsUNxF2+Q477DCfV6TjNBYe5EA5+uij7W5wOmrtr5bTp0835FfBpUmSkJSOXXpctCQJi20YvI477jhxCjvtwkUtXzxPGvsSCxP9FkUGeZSyo446yioSxF+EKWyGobig4IUZq8MCEZp1XDAZIyiaYcukSZMMAeVpjl3JhhHunLi4NmvWLNvPqT32P//zP9Zt99hjj92sDddff72ZOHGiGTZs2Ga/peEAMY9YodO42ffqq68a1hgwmUrcYE7D+Am7jspi5xNhCBriyMfhs3oln8Zuogv6L7mQhF4otc9YBEgei4xHaUJ/0W/SJMpnDAXzoYceMlOnTrWLkrCxRHkJW1hkkY7gueeei0Q5oj1R9lnY+HnLlzov5ps7evfubXOmefMkeTFJw99RPGdB4wBpBsm8iYtU5ShodJNTnipIPvsCf3tcSKQJuzfVqlUTyYgGg5jEzNZVq1Y1flnA0jRe2a1nLEp84ehYDGYksot+1113WZrwBQsWBFNojlLCHofkg8JdEeUI18SohGcMCnVpsv322xs+0mSrrbYy1atXz9osCF66detmyF+WRsFyFKaFNixMeHZ5X0Xl7htWO7Tc/Aioi11+fPRXRUARUAQUgYQhAB324MGDLQlEuQQQcTTttddeszFd5IWCjUxFESgVAQhRcLfu06dPSSyRpd63Uq8j9giyGGi9e/bsWakwVES7t6iIVmojFQFFQBFQBMQgcPHFF5vtttvO9O/f38ZAtWvXLhVtw11qzJgx1i2KhMBpVO5SAXQFVZK4Rly9nn32WRsLKDE/XpK6k+cXJs8zzzwzSdXSuoSAgLrYhQCqFqkIKAKKgCIQLgIsUKA6/uCDDywVOQHfSRYo0B944AFD0P0bb7yhylGSOytldYMGn9hNLJMq4SGwevVqS4px0003iQxLCA+5dJasCpLPfoPtDeYwaUKA5Nq1ay1ttLS2/fDDDybpi6ZSMIfxikWWNOEFz1iUKN9//71lRZPWNhjsfv7559iaRUzSO++8Y7EdPny4WbVqVSB1YV6EwCYomT9/vhkxYoRp1KiRJZkgUXBc8t1334kkDPn1119tTpq4cA3rvlgdYdDNJ7Af3nzzzVZBwuUuLcIzlhaSBuoJSQzpBo488si0QKz1LAMBVZB8grdmzRqbFd7n6ak5DX/auXPnGlhZpAlB3Gl6WfjFn0XgkiVL/J6emvNY4DAWJbK9kUMItjJpQib5ZcuWxdoslA2XqoAFDMxwbGiVIyyGoPkud/HGptrjjz9u63T11VebF154IXayH5Q1FHZp8uWXX5rly5dLa5bdDGNeLCQnnXSSOfzww23i2LQwgTLXp6WusNahqJKcV6UyEFAFqTL6uWAry10IFLyBnqAIKAIiEUjC3AHTFxakl156yVr6YbqbNWtWbHT4WHlhurr33nttvqH33nvPBtEnYQAkob+SgEOa6uC3zxj3WAjTymqX1D5B+YZt8pZbbjG77LJLUqup9QoYgb/euEECLlNkcVA6QhkdRSK/KAHcYostzJZbbmnpldNIt5kPK0cbLS1oFWp2AtSlUfXSTyx0ocSWJu4ZkzYWecaSNBbr1KljevToYZNPoizNmDHDWoFY1BRL2818WOw169evNyRiZYGK+xC7zTfccEPsViPv88QzRpA5c78kYSxC812lShVJzbJjmbneD4U5a5S99trL3H777fY7DcmAecaSvPZgswPGTNzqsAKrVA4CSvNdOX2tLVUEFAFFoGIQwH0YGm1if1Bc9tlnH3PAAQeYBg0aBLogw01o0aJF5uOPP7YuXpTfr18/c8IJJxjyvKgoAlEjwL73888/b+644w5filXU9UvT/bDK4So7ceJEccp3mvohjrqqghQH6npPRUARUAQUgUgQIL6SxQ1WnSlTptgEj/Xq1TP169c3e+yxh7WeF6PIuKD5zz//3KxYscJ8tSEOC+tFp06dzKmnnmpatmwZSbv0JopALgQYox07drQkRdddd504a2Gudgd9/K233rJxg2+//bYlWAm6fC0v2QiogpTs/tHaKQKKgCKgCASEADvBU6dOtdTg06dPt6yJKEe4nO24447WhRoXVlwicUGDqAEFiw9WKK53DJINGzY0bdu2tYHxbdq0sdcEVE0tRhEoGwEYQY877ji7CXDZZZeVXV6lFUAM43333Wfuv/9+c/LJJ1da87W9GxBQBcnnMIAympdjnPSsPqta1Gm4h+AagutJsf72Rd0ohpMXL15sA6SlxbTAhgbj25577hkDquHdkkXop59+ag488EBxrkkLFy40u+22mzh3F1giYYzDEpNGof5Ygr744gv7YZ7n2Vq3bp1VhGrWrGljT4ntII6JdvIhzmOHHXZIY5MNjIpY0KpWrZrK+ueqNDlqiPuqW7durlNSeRxX0aVLl9p3dLENgO20c+fO5rDDDjO9evUq9vLQz2f9wbqjGAtu6JXacAPm6yFDhpiBAweaCy+8MIpb6j0SiICsKM0QAeaFCTWqNAWJRSmLhCZNmtgA+RAhjLxoFAl2gqUpSOSdYRdbmoJEzirGYrNmzRL3wix38EIPyyLbT6B1ufeK8nrGIbmQ0qog1apVy/Bp3br1JrCxGUYCWtyUkrZ426SiJfyHZ6xatWriFCT6DNcyiQoSaUbYxCxWyLv1zDPPmC5duti5ByrwJAkKbdKeLxjriN0677zzVDlK0mCJoS4aQeoTdB7ipD3IPque9zRnNXLfeU9O2Y+0SWq7JI5F16YkMxqV+gjQNqljUWq7GIcSx6LOi6U+xfFcV+7c0aJFCzNq1Cgbgzdu3Lh4GpGSu6Ic3XbbbXZj5Prrr09JrbWaYSGgLnY+kSWZGbtT+KdLE6xIBBlLE+IHoFWWtshhLLLzJo0ymvGnYzFdTyHjkPGoYzE9/cYzxntM2rzIWCRfkDT68qDmxTfeeMNcdNFF5phjjjHdu3dPxIClv5IyDkksj+UIl8S7775b5IZWIjo9RZVQBSlFnaVVVQQUAUVAEVAEFAFFoBQEcBs9++yzrbsesTUSrb+l4DJz5kybDuD88883sP6pKAIgoAqSjgNFQBFQBBQBRUARUAQqAAEsJV27drWkMbDbSUusW2wXvvnmm2b06NEGl7oLLrig2Mv1fMEIqILks3MxBeNKInHHBdcEbZfPgZCA0xiLfFzMTgKqFFgVdCwGBmUkBelYjATmQG8i9RnTseh/mJC7Cze7X375xaAkkdw4DqHP4nKx++OPP8zIkSMNCuM999xjTjzxxDgg0HsmGAElafDZOUwoc+bM8Xl2ek6Donf8+PE230d6au2vpjNmzDCrVq3yd3KKzoKS+KOPPkpRjf1VFTY0xiILOGlCzh3Yw6QJ9MPz5s2T1iy7cJwwYYLdiJDWOPJAfffdd9KaZUjrQJoAaQJTJImOgxSY/iizXbt21nJCQtQ4hHg4Np6jFqj9r7rqKkvnDw6qHEXdA+m4nypIPvsJggY+0oTFqAv6l9Y2qX1G7gjJYzGOF2bYY5/+ot+kidRnjHYxN7LDLU2k9pnUeTGsuWOrrbYy9957ryUkGDNmjBk6dKhVGKIe71E+Y7xbXn/9dasUohyiHJHTTEURyIaAKkjZUMlyjBwmZFqXJrAZkRNDIgsV+Y/oN2lCgse0JqnM1xcwKTIWJbp76ljM1/PJ+43F48477xyb+0+YiPCMbb311mHeIpayyTEmLc8YQDIWq1evHhqm5EiaNGmS9SLp16+fwcIYleAmHpWLHV5AgwYNMrD54VKHcgi2KopALgQ0BikXMnpcEVAEFAFFQBFQBBSBCkAAiyn5koYNG2Z2331307Nnz9hik4KE+9dffzUvvPCCmTJliqU4HzJkiKlRo0aQt9CyhCKgCpLQjtVmKQKKgCKgCCgCioAiUAwCa9euNYMHD7auaCSZPe2008yuu+5aTBGJOJf4ahjqiGutVauWueWWW0ybNm0SUTetRDoQUAUpHf2ktVQEFAFFQBFQBBQBRSASBObOnWtuv/12A9nRoYceajp27Gj22GOPSO5dzk3Wr19vIFghvggXe9wGoTWX6LpdDk56bWEEVEEqjJE9g90IaCGJJZAkBEjCrsUOS1S+wFHh98MPP9gJcsstt4zqlpHch3H4j3/8Q1xMHAG033zzTSp3Kwt1/Pfff2/jI4j5kyQwDxIcLy0mDncjmN6YF6UJ7SKeVlrcKa5UzCHbbbedqC6DpIF32S677BJLu2bNmmWGDx9upk2bZho1amSOPPJIg2UpiPHDcxZUHNKyZcvM5MmTDUlfeW5JhItiJG3OjWUQVOhNlaTBZ8evWbPGLFq0yOfZ6Tnt999/N+wUQbcpTchvIJFaGeryJUuWSOsuwwKHsSiR7e2TTz4x3377rbg+I/CZhYk0IT8MVPpRMmxFheH8+fMNCrs0+fLLL83y5culNctA8828GJdgPXr++efNu+++aw466CDz+OOPm/PPP9/GK/GOLecZYa4vh7WUDbWXX37ZWomuvfZaWxfiqFDqzjrrLFWO4ho0Qu67hZB2aDPKRKCcSa7MW+vlioAikGIEJM4drk18S7Osu7aleMhVXNWT0Gd77723JXC46aabzLhx48yrr75qIDyACa5p06Zm//33N40bN7ZMpGF1EJ48bMig5JPzavXq1Zamu1u3bubUU0+15BJh3VvLrTwE1MXOZ5/jSsKnZs2aPq9Ix2ns3qxcudKQOE7aQgDrEbSvVapUSUdn+KwlPta42IVJ/eqzKoGehrsF1rF69eoFWm4SCiPwGbcmabSyWFr++c9/WkrsJOAcVB1wa8JrgHlRmtAuKMyh1ZckP//8s7VGSHODx8rCu6xOnTqJ6y4whx2Oz3vvvWd++uknqyARq1S7dm37/OAayLsq23jjOSM2KHPtwbuAsnAH5Z3AGgVrNR9c5rBkHXHEEaZ9+/aaxyhxo0JOhVRBktOX2hJFQBFQBBQBRUARUARiQeDzzz+3rqkff/yxDUn47LPP7MYyFjAIE8jhxzdxwVtssYVVjtikRVFio4VNaFyt161bZ5Vd4pzYMMMyhZUKxWi//fbLqmzF0mC9qWgEVEES3b3aOEVAEVAEFAFFQBFQBOJBAEsQViDihYin4kPsMwoR1jEsSFiFsK7j8YGlHYsTuZggW1D2uXj6Te9qjCpIOgoUAUVAEVAEFAFFQBFQBBQBRUAR+DcCymLncyhAs4m5WJqwgwNbEz6/0mTx4sXWj1lau2BDk8jWBJMiY7EcVqOk9vXChQut20hS61dqvYiN+OKLL0q9PLHXEQweJ3NYmMDAqEgcozQhYJ8YFWmCtWXevHnSmmXbA9kCbnUqikASEVAFyWev4BMrkRqVRSmLHMzd0gRFgiByaUJgrMSxCPEEY1Giso57icSxiLsMm0fShFxjEGtIVNZ5xojzkCa4cv3444/SmmXd0SDWkCg8Y6ogSexZGW1SBclnP5LMjI80cf697ltS+2iT1HZJHIuuTZmMRhLGJG2TOhaltotxKHEs6ryYrhlF6txBL0huW7pGmdY2GwIag5QNlSzHHNOKxKzMWJGyUXBmgSFVh7CKwYIjbZHDWMTKEkQm86R1qI7FpPVI/vowDhmPOhbz45SkX3nGeI9JmxcZi7ClwY4mTaTOi1LbJW38VWp7VEGq1J7XdisCioAioAgoAoqAIqAIKAKKwGYIyPMZ26yJekARUAQUAUVAEVAEFAFFQBFQBBQBfwioguQPJ2u6lxg8TvO1XT4HQUJOw41EYvC4jsWEDLAiqqFjsQiwEnKq1Plex2JCBlgR1ZA6FouAQE9NMAKqIPnsHOhD58yZ4/Ps9JwGne348eNFstjNmDHDJqhLT2/4qym0ytBhSxPYjBiLEl+a06dPtwx90vps6dKlIimIYRycMGGC3RiT1mdTp0413333nbRmGdI6fPrpp+LaBVPkxIkTxbWLBk2aNElkKg6RnVWBjVIFyWen/9///Z/hI01YjLqgf2ltk9pn5K6SPBYlWsfoL/pNmkh9xmgXcyNWCWkitc+kzotS5w6eK8ltkzZvVGJ75NG9hNSL2267rYFxRZrAZlStWjWRLFQ77bSTod+kSdWqVUUu3GBSZCxKpI2WPBYlMthttdVWZueddxbH9MZcyDO29dZbS5sWzfbbby9y44ixWL16dXH9RYN4xqpUqSKybdqo9COgLHbp70NtgSKgCCgCioAioAgoAoqAIqAIBISAutgFBKQWowgoAoqAIqAIKAKKgCKgCCgC6UdAFaT096G2QBFQBBQBRUARUAQUAUVAEVAEAkJAFSSfQML29tNPP/k8Oz2nEYS8du1akTEtP/zwg/nHP/6Rns7wWdM//vjDwGwkTSBnYCxKlO+//14kUyTMgz///LO4LoOg4euvvxbXLhoEg51EwpBff/3VwD4oTSAy+Oabb6Q1y7bn22+/FRk3JrKzKrBRqiD57PQ1a9aYRYsW+Tw7Paf9/vvvZu7cuSIJKBYsWCBykbNq1SqzZMmS9AwynzVlgcNYlLh4++STTwyLAWlC+oNly5ZJa5ZdaEOlL5HFbv78+QaFXZp8+eWXZvny5dKaZTfDmBclCu2SuPEssa8qsU2qIFVir2dps8SFQJZm6iFFQBEIGAGJc4drk/sOGLJYi5PYplgBjeDm2mcRgKy3UAQyEPjrjRsk45j+NwsCUBBDGb3NNttk+TW9h7bYYguz5ZZbWurXv/zlL+ltSJaaO9poaTTEULNvt9124qh66SfGIpTY0sQ9Y9LGIs+YxLHIMwb98A477CBtKBpHYc7cL0kYi1B9S6ONZixCy07bpAnzIlTfElM7SOurSmyP0nxXYq9rmxUBRUARUAQUAUVAEVAEFAFFICsC6mKXFRY9qAgoAoqAIqAIKAKKgCKgCCgClYiAKkiV2OvaZkVAEVAEFAFFQBFQBBQBRUARyIqAKkhZYdn8IJTRn3322eY/pPwIjGGwNUFrK00WL14skiEHNjSJbE1//vmnHYvQfUuThQsXmnXr1klrlmWJ/OKLL8S1i7QO0pjDmONJezBjxgxLGy2NLXL16tXmqw2sitIEptl58+ZJa5ZtD4yKpApQUQSSiICsKM0QEWZxAzXq3nvvHeJdoi+aRSn5Ppo0aWKDd6OvQXh3RJGQGPRP3hnyIO25557hgRdDySzeGIvNmjUz//EfsvZuyGMCyYu0QGvGIQucPfbYI4YRE94tyTVGTq4DDjggNWORMcYm3tKlSw3KwooVK2wb6CPeX//85z8tbTl5dQiK5xnjU7VqVUtGUa1aNVOvXj1Tu3ZtU79+fdOoUSM7x6SFWAS6aNpWt27d8AZGDCWjIJFmhLEoTXjGdtllF3HkV9L6qVLbowqSz553LxOfp6fmNMce475TU3EfFaVNUtslTYGgO12bpLEpurZJHYtS28U4TPJY/PTTT601aPbs2WbOnDl20wRmuho1alhFHGUcRadp06aWBQ2WN/oKSxLfWGpRKFAGWYSvX7/e5rTCowCPCf4Pg1rjxo3NYYcdZlq0aGEOP/xwq+j7mH4jP8W1KfIbh3xD5kWJzxiwSW5byMNCi48AAWWx8wmye5nwwpAmWJF4eUoTdkzZ/UzyIqcUzBmLLHLSsrNbTBt1LBaDVvznMg4ZjzoWw+8L5rN3333XvPHGG2by5MnWfbhmzZpm9913t5YfvrECuY2GXDVyOXUKzYtYBrHo4ra2cuVKQ4Jq+rp58+amQ4cOpmPHjqZWrVq5bhP5ccYibZNGXw6QUudFqe2KfPDrDUNBQBWkUGDVQhUBRUARUAQUgfIRIE5j9OjR5vXXXzfERuFai/sb7t64x0UlWJtQlpYsWWKI78TV96CDDjJnnnmm6dy5szgX7ahw1fsoAopAMhFQBSmZ/aK1UgQUAUVAEahQBCBQGDt2rHnooYfMokWLTIMGDcyBBx5o3d2SYu3HogR5wCeffGKtVt26dTO9e/e2MUwV2m3abEVAERCEgCpIPjsT0z3uBRJ9gZ1Puk8oUnOa1HYxFvkUcqVJTUd5Kiq1z6S2S8eiZ/AG8CdEJU8++aQZMWKEjQHCna1ly5Zmxx13DKD0fxVBnxVyryvmZliWUJJgx4MYp1OnTqZ///6Rk8joWCym15JxrtR5MRnoai3KRUAWVVS5aOS5HtcCAmGlCS4b48ePtwxH0trGC5tdTmkCrTKB1NKEmAfGIi9NaTJ9+nQbzyGtXTCmSaQg/uWXX8yECRPsRkQUfcaYRzFCIRo2bJi1Fg0cONDG+QSpHNEW4j6CfMaI+cG6dckll5hevXoZyCNatWplLrroIsu+FgV+3AO3P+4tTWAhnDhxorRm2fZMmjRJZCoOkZ1VgY1SFjufnc4uGR9pwovSBf1La5vUPsP9RvJYlGippb+k5Z1hvpD6jNEu5sagrS3Z5tj33nvPDBo0yFJzt27d2ioXaSW9wBWQD5s477zzjmW/u/jii63ytNVWW2VrfmDHpM6LUucOOl5y2wIb2FpQbAioBckn9OQwCXonz+etQz0NVj6Yj9L6Qs4Hzk477ZRYStp89S70m8tbUui8tP1ObAVjUaIbq47FdI1GFvM777xzoK5omQiQt+fCCy80Xbp0sbTcV155pWnXrl3oczGuuUG62GW2i/+TFwsL0gknnGAee+wx6yY4bdq0bKcGdgxac2l5xgCHsVi9evXAcEpSQTxjVapUSVKVtC6KwEYENAZpIxT6hyKgCCgCioAiED4CUHUTp0Mi61NOOcXstttu4d80pjtAT4674qxZs6wyOGTIEE0MGlNf6G0VAUXAPwKqIPnHSs9UBBQBRUARUARKRoCkrAMGDDBjxoyx1qL27duLJFvJBhDxoLQbi8ioUaNsvFW28/SYIqAIKAJJQEAVpCT0gtZBEVAEFAFFQDQCxOX06NHDEHR/+umnVyQdNtak1157zbLe3Xzzzebcc88V3efaOEVAEUgvAhqD5LPvYHvDZ1yaEIS8du3ayNiaosTvhx9+MNDmShN2oVlkSRPIGRiLEuX7778XyRQJ8yAJQ6UJBA1ff/11YM2aPHmyOfLIIw2Mb3379o1VOXLkE4E1roiCiHkl5urEE080N9xwg4HAISjykl9//dXAPihNIDL45ptvpDXLtgdaeNqnoggkEQFVkHz2ypo1a2zCPp+np+a033//3cydO9dSv6am0j4rumDBgkAXOT5vG/ppuKqQzV6asMBhLAa1YEoSPuSJYTEgTUh/sGzZMmnNsgttqPTZQCpXcCvr3r27Ofjgg83ZZ59tXczKLbOc63m+2IyIU6Azh6ACpjsSzPIeKle+/PJLs3z58nKLSdz1bIYxL0oU2iVx41liX1Vim1RBqsRez9LmIBYCWYrVQ4qAIiAcAYlzh2uT+y61C0eOHGkuvfRSm8/o6KOPLrUYkdftuuuulumO/EWdO3fWhXKeXi53HOYpWn9SBBSBHAhoDFIOYDIP40rCp2bNmpk/pfr/7CSuXLnS1K1bN3Tq16iBwkUG2ldpNKLr16+3roPSqF9x/cE6Vq9evaiHSuj3w3WQNAFh54IJvSEZN8ClibgS6HolCW4/eA0wL5YquJA98sgjNt6oadOmpRYT+HU8Z1FQffutONajxx9/3OB+99JLL5ndd9/d76WbnIerJ+8zKPUlCRY/3mV16tSR1CzbFuZ71lT0vYoikDQEVEFKWo9ofRQBRUARUARSjQCJX59++mlz1lln2ZxAqW5MBJVHyQYv4ivHjx9vdtlllwjuqrdQBBQBRSA3Aupilxsb/UURUAQUAUVAESgKgfvuu8888cQTpmfPnqoc+UQOCwLxWY7EYd26dT6v1NMUAUVAEQgHAVWQwsFVS1UEFAFFQBGoMASee+45QyLUrl27inQVDbM7YfhDScKF+IwzzhDJQBomflq2IqAIBIuAKkg+8YQy+rPPPvN5dnpOw78Ztib80qUJwb8SGXJgQ5PI1vTnn3/asRg3w1YYz8HChQuNxF1xYiPI7yNNSOtQLHMYjGz9+vUzJ5xwgmnSpEliIUkCi10ucLbcckvTq1cvO6bOOeecot5Lq1evNrAqShNitObNmyetWbY98+fPt7HdIhunjUo9Aqog+exCFjfkMpEmLEpZ5OADLk1QJCTmxSAYWeJYJGcVY1Gisk4eE4ljEQpiNo+kCbEwEGv4Vdah3e/du7dp166dadGiRaLh4PlKMita1apVDcrRzJkzzU033eQbSzbDfvzxR9/np+VEFCQIQyQKzxjkVyqKQBIRUAXJZ6/A+sNHmvz1r3+1TXLfktpHm6S2S+JYdG36y1/+ImkY2rbQNqljUWq7GId+xiIuYbiGNWjQwCaDFTd4Y2hQtWrVbH6khx9+2Lz++uu+asA4dHOIrwtScpLUuQP4JbctJcNLq5kHAWWxywOO9yd2EqF+lUhHiRXpv//7v73NFfE3VrH//M//9LXISVODGYvsAtM2aaJjMV09yjhkPFbyWDz33HPN7NmzTd++fVPxfnDWIz/KX9yjcerUqeaDDz4w06ZNK0i57ixjxDJJE6nzotR2SRt/ldoeVZAqtee13YqAIqAIKAJlIfDCCy/YuKM+ffooNXVZSOa++NFHHzXbbLONpf+WaK3M3XL9RRFQBOJEQJ7PWJxo6r0VAUVAEVAEKgIB4uUGDBhgjj76aFWOQuzxLl26mKVLl5rhw4eHeBctWhFQBBSBTRFQC9KmeOT8H24JuJJI3MHCNUHblbPrY/+B/iHjOAsyAnZ//fVX6+5JMPPWW29tdt55Z0spDANU2kXHYrp6kHmRj8TYj0JjsVu3bpZN8qKLLkpVp9FfaXCv84IK29nYsWPNu+++a2O9vL+5vyt5LDoM0vZd6BlLW3u0vrIQUAXJZ3+uWLHCwER12GGH+bwiHadBZzt58mS7Cyotvmr69OnWb7127drp6Ix/1xKGuhkzZljfe75RjhzLILFizscehR0fbveSqVWrljnwwANN69atzeGHH566JJWwGRFrcNxxx4lT2GlXw4YNDX0kSUh9QL81b95cUrMs4+D7779vOnTokFWZGDdunLngggvMpZdeaqpXr56qtsMWScxY2jbFHn/8cbPDDjsYsM8mixYtMlCYN2vWLNvPqT0GU+ScOXPMsccem9o25Kr422+/bQ466CCz00475TpFjysCsSEgL5oxJCghaOAjTVhcu6B/aW1LU59BK/zmm28aYhoISkYR2mWXXeyCunHjxnZhgMUIcXlMHLEGSi4vUT64orDLCqX03nvvbRMunnTSSaZGjRqJ7143FiVaahmL9FvahXasXLnSkHMGSyYKkqPEJk4EBbBevXom7dZM2sl4zGZtQcG44YYbTMuWLVOnHKV5/JFf6u6777asdp07d96sKTxf9Js0kTJ3ZOsXyW3L1l49li4EVEHy2V/bbrut3a33eXpqTsNqBKWqRBYqdqXotyQL+bUee+wx8+CDD9rM8XvssYdBoclnach0Z9pqq63Mrrvuaj9Nmza1zSVXErlZ7rrrLnPzzTebrl27WpYtFq9JFRQ+xmLadrb94JmGsZitHShBWGKxZL733nvmqw2JOFmIMl+gBPGNu9YzzzxjUNSxdNJ/u+++u1UgsGS2bdvW9mu28pN6jGcK19Vsrmg8q+DSvn37pFY/b72YP7K1K+9FCfhxxx13tB4cN954oznmmGM2Y17dfvvtRSpIjMW0WSn9DheesSpVqvg9Xc9TBCJFQF3sIoVbb6YI/AsBdqcfeeQRM3ToUBu/gVsIliLnPhckTriHfvTRRza57FlnnWUGDRpkWEyoKAK5EEAZev755y1zGOegWKO877bbbtYaud1222W9FHc7XERJAPnFF1+YL7/80ipOf/vb38zpp59uXdbSrACz8YAb61FHHZX4hLBZOyjlB3EpZs4cOHCgOe+881LeGq2+IqAIJBkBVZCS3DtaN5EIzJs3z8YuoLi0aNHCYPXJtAqF0XBco7AGcK/bbrvNnHzyyWHcRstMMQK4eeLGhOtco0aNbGzRPvvsU5ZVb/ny5VZBX7BggalZs6Yd+6eddloqrdY8N1jL+vfvH8kzm+KhFFrVcSFmw+fvf/+7wbqioggoAopAGAioghQGqlqmIpADAdxzbrrpJrsbD5lC1C94LFdz5861Hxap7MZGXYcc0OjhGBEgwP2qq64yn3zyiQ2axn0saCsjsUpYpnDXwyWUsYcLXlpk/fr1Zr/99rMkItJIKdLSB9QTF0/GDhTrJOlVUQQUAUUgDAQ0D5JPVPGv/+mnn3yenZ7TCELGHYZvafLDDz/YuJ4ktIvA7rPPPtvGA+FuRO6UUhUTSAz4lCK4N2G1wnqEteDII4+09OGllBX0NbSJsShRcDtzTIRJah+Ys9g84ogjrCvc1VdfbceGX+WomLFIrAFMXLhHEZPFGLzsssvsfZOECXVhIwFafa9gOSLm6oADDvAeTt3fjnwidRX/d4Xpg0MOOcQ88MADm8yDxIVBTiNNIDKAQVeifPvttyLjxiT2VSW2SRUkn72+Zs0awy6rNCGvDhYFfLulCS49mYucONrIS/uUU06x7m1YbXBdKkdY4JTLiIarE8QNLCoIeIb9Lm6hLozFctsWdzuy3R/LDIuBJMl3331nTjzxRPPQQw+ZHj16mF69elm2xGLqyFgsljkMRYnkn3379jXvvPOOVc6WLVtWzG1DP5dnFjcut3FEO0eNGmUOPfTQ1LvW8XyVusESOvA+b0C6DcbvW2+9tfEK4t1w55QmsJMyL0oU2iVx41liX1Vim1RBqsRez9JmtxDI8pMeKgMBgtZZhPLiRkmCiSkpAmsc1LlYsjp27GiStkhNCk4S6wGBAtYcNhCuuOIKGwcXdTvr1q1r+vXrZ9nIyH01e/bsqKuQ835uPnTf5IpjIYf1VSV+BFCy9913X/P000/HX5kIauDGYQS30lsoAorAvxH46wbKzBsVjcIIsJiEDHzZWgAANB9JREFUMppcH5IE1jToeqFXTiP1q7cvcINcuHChjXEgySN/s6uIdQR3O9pHosGoBJeqbt26WTYv3Im23nrrQG5NOyBaCILYgTL23HNPg4X0ueeeM+QXiYsa3VFHS0wa6J4x2hi3YFlFMYZilxiOcsYlY9GNx1LaBR7777+/zeF17733WkUNtry4hfQHLMLdfEHeI3CirmkX1198p1nojzFjxthxDGHDxx9/bDeimO9x1cWyyYZUEPNknDgxFmmrX7fXOOta7L2ZF5mH0sxsWWyb9fz0IKAkDenpK61pFgSI7Xj11VfNG2+8YebPn2/jPHgpsshHqcU1hvgfdn9xI2Tx3bZtW5triFigMGi1XTUvvvhiS5OM5SgupcPVpdA3OL322mu2npMmTSo5PqrQffT3eBFgw6BDhw6m7gbrDS6WSVo8TpgwwbCx8dJLLyXKUsPc0aRJE3POOedYcpV4e7Cy786m06effmqVIayguOVCOU9SbRQJlD7meejYsd6j5BKvxIbA8ccfL26Ds7JHg7ZeEQgXAVWQwsVXSw8JAV6O7Di/8sor9gUJu9Tee+9t87WgGGUTfLlxI1u8eLGNJ2Pnqk+fPqZ79+6bJR3Mdn0xx7DGXH755datrkaNGsVcGtu5LCzIfcNCYvjw4bHVQ28cDgIsGiHlwApOvFGSlCPX4rFjx9oF8Ntvv20aNGjgDsf6jRsXyZYhl0i71SVWIMu4ObGyMCB+8MEHtg+Y7xs2bGjZEHERxgMiU1CQ2BAgYTbWJdzUUHIvvPDCrOdnXq//VwQUgcpGQBWkyu7/1LUea9Bdd91lGYxq165tEzaWQnqAOx671bx0sSoNGzbMWpaCAOTzzz+3ZR100EGpc8mBSAClEzryk046KQg4tIyEIIDFiPxGkCOw255UefTRRy2JwMSJE637b9z15DnAXYtYQpXoESA2DTIGFKF27drZRL3O8o/lG+UJBckdy1ZDziP/HLFkKE4ky+7Zs6cqvNnA0mOKgCJgEdAYJJ8DgRiW1atXi9t5gtGIFwesZkncUfZ2D4rHqaeeamOMYINzcRTec7x/0zZ2fLPt+hL7QKxDy5YtLRsSyTFx12jVqlXZOLA7z4IKF74whJc9LFRh9BfWBcp++eWXrWUNH/GoBAsWbpK4y2Trs6jqEcZ9iIdDKYkST287UHixal5wwQWmatWq3p/K+juMsciGBwtZ5lvo8OMQNlBgHgQrqM+xvEmJjcs3L8aBda57kjcLanWsRtDQE8+5++67bzLvMQfSHr6JY8k1L/I7ubfIu4Ui9cgjj1hSEBQu3PCSLCiAzB/Mi9KE+R738yRv2EjDXNvjHwFlsfOJ1bp16wzxLtKERSlMVknM0eLFes6cOZaOmpcgC5ZmzZp5f876Ny9LPvmEBSsxQrhdjB492r6EeTGXKrgIsePZdkOcU1hCm1iYhiVYvlDwhgwZEtYtspaLdZCxGGbbst44goPkMYkrRwuKxu23324JOHArDVL8PGPF3g9LAYthnkee+ziEOYBAfyzMLK7r168fRzVCuSfPV9JZ0XAHxc33xx9/tK7KbDblCuRH4eE95mcssvHSpk0bmxSZDTdSHHz11Veh4BxUoShIkOhIFJ4xLHoqikASEVAFyWev8JLkI03cS8d9J7F9s2bNspYjlKLevXuHsuOHPzuUw8QnYZ1isV6ssPAYPHiwwT8+TMahXFaxYuub63zGQuvWrc0TTzwR6eLBPV/SrEfgTNviesaIncFCnCaKahSS5s2bmyuvvDIWhZm+YhxivaAu+dy3cj1Herw0BNhIGDFihLUs4A5aKIaTvmGDrxilD5c8khTDDkfM5cqVK0urbARXxTl3hN08yW0LGzstP3wENAbJJ8bsTrGrLtEUzO5bLmIDn/CEdhqkCuRrIXs9VNnFiHthFrPgXr9+vbnnnnsMVpRic2y8+OKL9qV79tlnh+pKVUq7isHNnUt7jjrqKIP7YVSS5LFYDgYs4HDrLGYslnM/dy2JGMkx1L9/f1OrVi13OLDvMMciO+e33nqrufPOO21i2cAq7bMgxiIufrh14YolRcLss3IxAvP77rvPboKxGeaHFp/24B4Ne2mxzxjv9YcffthgMSRpsaN1L7cdQV8vdV6U2q6g+1/LiwcBVZDiwV3v6gMB4gDwPcflhnwtUQmulCzK2L1mB9OvHHrooZYhjDgmCQIDFIsGYjGqV68eSpNYoOCHzgdXMPqcXd06depYJbVx48ah3LdSCsVV7bvvvrMB6Wls87hx46x70YwZMyJXLnH9gUmPhXq9evXSCF/q6kzMEfMADKDFxOvRV8wbfIoVNi/YFNtnn33Ms88+W+zler4ioAgIRUCez5jQjqrEZt122202f9EZZ5wRafNRBnCzIwYH1i8/QqJCfNpxr5MiuBYRwExcVdDCziHEAfvuu6+1Ut1xxx2WqYqYD3Ja3XLLLTZWAEse1OMoUirFIcB4hOyATYa0CpabVatWGXJzRS242zLudtttt6hvXZH3g4qbHEc9evQoSjkCLFwiIWsoRfAKwerP3MNco6IIKAKKAAhsoTD4QwAzPi/LuOII/NWytLOInUlau1BMoPvFcoQFqRShz0p1aTrwwAMNSg+EEK+//nrB28P6BktSkAxhuW4apYsMO+gsGmA/C0qIKYMUg7xUxJURKO1w8/YZvzMOrrjiCjNy5Eg7Hsh1lUaJ4xkj4SqLe1zEwpKwxyKsiuzsjxkzxirSYbUjW7kwh0Fq4cfNK9v1ST3mfcaSUkeUG+bZtm3b2nm02HoRy0IZpbaNOCfcKcl3hUsqyWeTJHHMH1G0X2q7osBO7xE+AmpB8okxTDdxMSr5rGJJp+HSNH78+MSx2JHraK+99jLluFjhOkHcWKlC3hP6nHxJheTVV181e+65Z6HTAvmdl0qpu6XFVgDK5UWLFtmEi8Vem+18qKbJK4Ov/1lnnWUD8Z1yxAYEliW36Cam4LDDDrPn0V4UqSlTpmQrNvHHpk+fbhn6oqwoSgWKfpjC8xX2WISsAVfPKFkAudeECRNCcy0Ns08Klc0zxhySJGHThDpBp16KsMFX7rzo4swee+yxUqoQ2jVsFJETTKJgGf7pp58kNk3bJAABVZB8diILgXIW2z5vE/lpvFRYmCbphYlLDW5WEATEKeweQw6B9SKfYOWAjpa4mSgEBcIpEWHfDyWFPBXEgJQrLHJhjiIXCbS92Xbms7ULC2KHDh0MTIMoVbjipE2iUCS8mCxZssTSVEtw+cRqiIUARrmohP4iaXJSg/ajwiGK+/DMv/vuu9alNtuc4KcOjA/KKec9hpKFkjRq1KhEbRhGPXf4wTuocyS3LSiMtJz4EFAFySf2LBJZLEoT/K+hPC31xRQGHrir4fJAItdyhJdmqS527r4kkuXlTaB7LkF5YCHlLCG5zgvqOO3iE5XAfoYFpByBRvf888+3FqOmTZtmLYq+ytcu+oJg+TPPPNPANpgmIckoc0hUwpjkGQqTbp62FOqzINrLmKDfZ86cGURxvspAKSf3ncQ5HzzLnRd9gejzpOXLl9vn+eCDD/Z5xeanuTZl22DZ/OzcR6gD7InE7iVFGIthkeTE3UY2IZOeqDdujPT+8SEQ3SorvjYGcmfyiDRp0iSQspJUCAoSC88k5fmAuWr//fcvGyaUvnJjq1DS8Ed/++23c9YHlregE3DmvNmGH2hTlAotGdyJxypHoGtGgTzkkENyFsOiDbr5fIs3dnhxC73//vtzlpPEH7BERrnYJllx3bp1Q4eCeSOKuQPCkCgtSCzacLOLss9C76x/34A5P99GRFT1cPeBmAF3auLNyhGnJJVTBvMPbt14MCRF2FjJN28mpZ6l1IPcbGFsLC5YsMD06dPHEgFRL5IOk/IgbCF/14cffpjzNlHVI2cF/v0DrLHnnXeeYTNaJTcCqiDlxkZ/iQEB/K1xDyL2JSlCbFG+OCRc7CS74rBIJOM5MV2lCPgQo4UiXq6gHPJSfeihh8zPP/9cbnFirwfzMPIexQUYbYF2vlwLgd/6o4STLLoU2mi/99Dz/oUAbIsoSOUKGyu4i5cruHTmm+/LLV+vDxcBYiJh7sQKyGYAMmjQIMtSGO6djbnuuuvMtGnTct4mqnrkrMC/f2CDFa+YU0891UydOrXQ6RX7uypIFdv1yWw4Oz8sgsNk3iq25exez5s3L+dlvOAl7jS7BtM2fPtXrFjhDhX1/corrxhczLBEBSEsplgov/nmm0EUJ64MFomQykhyy8FdEHIBcuREIU75VgUpXLTpU/LOBWHtDEpBYr6nTsSgqaQPASyS9B8kNeecc076GhBBjfGGwlMHz4a0Eh9FAJPSfPsFmR1Fsm2z0JMkLDS//vpru9ucz7UpqjZ/8cUX1l0tCBcQFvVBuF2wOAMjXua4YHgFqwpZ3KNcSLld0iAw8rYl19/OR/yHH36wRAm5zst1nB01PwsgxiJtK+QWSbtr165t46K6d++e67aJOs4Lm3ggt6MZZuUgDGFcRmHVjGosgh3j45tvvrF9HyZ+lE38EW0rJllp2HUKqvyg5sUg6sOcggSlzLvxWE7diMlljuFdhGt93AKRATgFtcEUd3u890cJBe8g3XQd22W2GGZym/E+wiKNlSkzLpT6wKjIZiB4QyiUuVmLZRkXZqz07du3z8tey7qBzVU8Yrz1KVSPZcuWWSsm1jByAXrZSBkLuPFBXERcJu7v1BGW18z5io0y4oeJq8PzAoXIK4QGpC2e11v/sP9WC5JPhNesWWPpjn2enprTeHDwzWXxnwRhIRmUTzIvlnJYjRweLM548WajIwU/JIqFr6sPbQqbWtndy30z8bq2umN+v5nsUTILCQtgFvZ8FxIWVLxk0iLEqUW1I+36KfNlGQZWjEWes7CFBSubE7/99lvYt7LlY0GibYWU9UgqE/BNmDuCUCSCqBabS7j7lJrrLrMOQbSLPmfhzEZDEgS38yjiZ+JoK+3K9l4tpy5sZiOZShfxNq1atTLkh+vSpYuNc+bd5ITjeCdceumlNidXz5497Yagl7ADCzYu99DRP/PMMzYunb+zvbNg48WtnJQl3vdfoXrcdtttNvfbwIEDzZ133mmJjXr16rXxmUXh6tSpk7noooss6yK09LjKHXroodYt2LUHN3TcRa+66iprTSNlxsUXX+x+tt88e+59sckP+h+LgCaK9TkQGERM5gQKM+jY9XBCzAwPORMr2r57MFk4fPTRR/ZFy/lc54RdgKVLl9r/xlmeo0zGTcxLQhFX/cDYWWmYdHiZ880CyUtM4F2Ygbd3IeMWAJmTVqnlcW/uR9+Tw8fbv2Rfp585xyt+6ofFjjY5y53f+rnz3f1ce0stLxd+3vJQANlpcvlK/I5nFG+eHe6B8pOvvd4+LIQf5WBNAHtvfyT5eaNNxeJHHxc7v4A3C0X6D/z99C/38Tv+MsvjOu7jHS/llJdrPKPwsaBifvA7/qhHsfhxjVscgyP95h2buepXKn5Rl0f7MttU6Hlz4ynf88tvTvyWx2LWzfdcC4ZOGE9OvMc5lus373nl9AdjnEB2dunjnl9YXHvbVcp4jut97nc95Po5iG8USsZU5gYRm1S48GPJIZ4RJQNliHxnvJv69u1r3+9PPvmkrQabMZxLmg+sTQjjgWNYbrDaoGCxbiKZerdu3ew5/MOGOqksUKZIgOzdAMhXD9YT1157rYHU6PLLL7cbr88++6zp0aOHXVuSYB3heSQumHcgngLksqRuuJ2fcsopdvOQ9lx55ZXmpptusu9d3j0obK1btzannXaaLYdr1YJkocj6jypIWWHZ/CAmWRZjMO14BztnYmFgws5cOLBoxoTJdZzjFcpwSlac5bETT70zXQfjqh914eF3Aoa8HDIVEPB2x7wvS65zx7NdV0p5lMk9wMi7UKIs+jfz/u58V4/M33Md5zo/9XPXcz7i/p95H/dbNhw4N9d12Y7TJ/RNseMZvFy9XLm20v/+h2OufpznFmB+6se52fojic/bPvvsY+cAt3AMcz4AUy/m7m+Hu+uHzOOljBfXv/RhEOW5OvCdWR7Y8UJn3gwTP+7Nfdz93TfHkSDxi6M87ul9bvg/bczVrlzHuY7f3PPL/534LY96cH0Q4r2nK6/U+lEnxpgXJ8oqdv6jHpRD3UpdH3BPr4dCueXFud7IxG/fffcN1BWY99Rrr71m3c3cGHDfKCzOzY04s379+tkYJVzyWNfheud1qWS+gdHQbZZgPULBImbHud1hcXp3QxoQ73UoLtyLvIiwIXo3AKhLvnoQN4VSNWDAAFdtgxv5jTfeaJ566injFCR+pP7MUwg5IxlfKGYISh73vfrqq+07lWNYmPg8/fTTGxUk6nLFFVdY7wZvGzhfZYMVUkHwhwCKRC4/aXxVs/kHM6E2aNAg6w14IL0WJe9JUZaXiz0orvrh2sBuDuJeKl5s3N9gyyeb8FLzvtjcOaWWR324FztFlOHEHeNeTKZeibJ+Qbc3W3lYCOibYsczkzYkD/ht87dXsvWHO6cQfuw877bbbpv1R7H1oz5RPG+77rqrbXoU9ePZBVvGpHdX32GfrX/5LVt/uGty9Ueu46WWx3W56sdzyHyVbd4Mer5ymyFgQhu9kqt+peCXr72VUB67/MwNTmhzNsl1nHPdb5lKejn4YdVjMe3K5j6MgyieX+6VOZ69GwJRzFdRtZdY0iCFGBueT5SkTCFGxysoIgixZi4Nw3333Wet/MQXYZ1BMUWJQ7D8IJlrJlzXvEIKCvqPMcSclakg5asH983G4It16LnnnvPexrh3Cgd5bxIr7NZO5BbjHekUOXchz1q9DTnlnOBG+NWGOKW6devauCbXVvd7pX9vOvNXOhra/tgR4KHHRJ4kcSZ7dr8yxS1G3cSU+buE/7PwoH20tRQhMazb2Srl+mzXEPwaRK6sbGWn/ZgLPHa++GlvD/XHKsgYdG0Lu01uUZO58RH2fSutfBb+YOwC68ttv1ehKbUsxhmu3t4FaKll6XXRItCmTRtLX40VJ1MyLWeEFSCMQUhZsK6MHj3auqE9/vjjdh2CZcYJihfiVej5f6YF9LjjjrPKFOsGXNwyJV89+C3bvM29Mzfh3WZiZvn8H8WO8Uv8lPdDmABWKieEhuCeR4JkrxLufq/0b1WQKn0EJKz97Nrx0CZJ4WAnCXN55k4y0DFxoTgF9YJPWHfY6uCjzMKj1Lw6BLGuXLkysKYxNngBttuQNFZlcwRwu0CZda4hm5+RviPEUDAGg95xzoUERDHcD+ZSlfAQwFLHvEpOlnIl04JUannM9/S9c8cqtRy9LnoEsADhkta7d+/Nbp6ZqoPk72y48G6fNGmSZa4bO3asuf766y07Hcy0ixYt2ugd4izXxLl6BaY7CBOcEOODC9/QoUPNqFGjrILifuM7Xz1wxeb3TOIEFJtiNgRxDcQlEAstyo/7kI/Qm/QddzvWLuRCimpu9WKR9L9VQUp6D1VY/TDx4haE2TspQl3yZTLHVJ80q1eQ2NE2JtpMc73fe5x88sn2JYP7QBDCCwR3Vxc4G0SZ0spgcQcjpBShLSxmsllxw2iji0HKXKiEca9KLpNdcOYVgubLFRSkbJtYxZaLZYHnZ7vttiv2Uj0/AQhAZw3DaaZl59FHH7VualhoIDN46623bIwOm5zQaDN2cM3DQoSSfMEFF1gSBrdJgmsaBAjE9aBYsJE7fPhwM2fOHHPJJZds1nKuhzWPXExYJJ3kqwekEdTvxBNPtKRQEHJA0EDsE0x2foVYJSxCKG5YkKjr4MGDzbBhwyxDnisHsgk8PPJZo9y5lfitClIl9nqC2+x2PBYuXJiIWuLawwuTXaFcws6SSyyZ65w0H2dyrbvBR5ld1VKERW2fPn1s7ohyLYMwC8G8CAWqN3C5lHpJvoZ4uaDdGuPEi7Zk880Pq05s0mCFUwUpLIT/X7lsMLEQLFeCUpCoi1qny+2N+K7H8oPbplNsXE1wdxs0aJDNWQgbLcoDyg6CxefGG280Dz/8sFWMed8xB0DRDVOde7/zO0xwKCuQxUCmABW3sy65e/HN+/KRRx6xG1UQITjJVw/iat955x1r/UG5whLEhiCWrbZt27oiCn7zzkUxYv7Cg4P/o/zByIcroROUQXWtc2hs/r1p1PTmv+sRRSByBJi8mKywPASxI1hOA8jKzUTHJJNLoDKFilOqEO9T7oKB/AuY93FrgF61FEFZZdePgFpHU1pKOZVwDYHD0MtKEay47N5GKSxWJFuGo8Qy371wHWIxh5UwFxFSvuv5DeWIj4sTKXR+rt+JRSHA/d577811ih5POAIuVpb3hRNnwYE+G3dvGNtcnKE757rrrrMU25AW8Ow7ghvY4pxgWYbSmxgl3LxxS/Nu1DlFyp3fsGHDTWKK/NQDBQwlHbdiJNNqfvTRR29mHeO8TDd/rGJQ1VMnSJaysdShIGXiQFkq/0JALUg6EhKHAAtoJrckJMcjCzUKW2ZgpRc0FqNMNG5C8/6W9r9ZdOBugJ91OcJLCyWSyRolyfvy8lMu+I4bN86+jKA7jVtx9lPnOM/hJYu1LVuwcpz1KuXe9D3+9JlsUaWUVcw17CJjPVUJFwGCz1lovv/++yXfiHkKKVdBgrIZprrmzZuXXBe9MF4EXMqSXF4oxBzlUgrYDMWVzilHuVrCeoBx4lWOcp2b63i+enANilGmcpSrrHzHUeqyKUdY2HDdKzW2ON89pfymCpKUnhTUDgKk8dslcNKbEynqJpLIl92kzOzTmfXgBc9kGYQffWbZcf+fBTbKDAvucgW/fqwaTMxkLUfx8iP0Acw7xASQV8K9AP1cW6nn8NIjni8zIDiNeOBSSd8TWxClMF7VghQN4sQTfvjhhxtdmYq9Ky5VLG7L2ThhQ4GYDOJAVNKLADTcuKPhonbZZZeltyEh1pycT6TfwKJ16qmnhnindBetClK6+09s7VFKMAvzIMchKGavvPKKzY7NQqmQdOnSxbpmFDovbb9j6if+KiilhNgY3Gl4eb388stWYYIpKNNfHOY8FsYoUtCQMomT8RzXBxV/CHTt2tVi6HbX/V2VvLNgXcKKW2hXN+iaE/P07bffBl2slpcFAeYFaIlLdQtlvsZ6hJJUqnBvrAe4dqukG4GJEydad2xd/GfvR+L+nnnmGRtfhRugSnYE/rLh5RlMGuvs5etRRaBkBMhJcM0115j+/ftnNRGXXLCPC3lZskBnRxETdSFZtWqVZcJhQs5mzi5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      ],
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/svg+xml": {
       "isolated": true
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     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# a great plot\n",
    "plot(rules, method=\"grouped\")\n",
    "inspect(rules)\n",
    "length(rules)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   lhs             rhs                support confidence     lift\n",
      "1  {Class=2nd,                                                   \n",
      "    Age=Child}  => {Survived=Yes} 0.010904134  1.0000000 3.095640\n",
      "2  {Class=2nd,                                                   \n",
      "    Sex=Female,                                                  \n",
      "    Age=Child}  => {Survived=Yes} 0.005906406  1.0000000 3.095640\n",
      "3  {Class=1st,                                                   \n",
      "    Sex=Female} => {Survived=Yes} 0.064061790  0.9724138 3.010243\n",
      "4  {Class=1st,                                                   \n",
      "    Sex=Female,                                                  \n",
      "    Age=Adult}  => {Survived=Yes} 0.063607451  0.9722222 3.009650\n",
      "5  {Class=2nd,                                                   \n",
      "    Sex=Female} => {Survived=Yes} 0.042253521  0.8773585 2.715986\n",
      "6  {Class=Crew,                                                  \n",
      "    Sex=Female} => {Survived=Yes} 0.009086779  0.8695652 2.691861\n",
      "7  {Class=Crew,                                                  \n",
      "    Sex=Female,                                                  \n",
      "    Age=Adult}  => {Survived=Yes} 0.009086779  0.8695652 2.691861\n",
      "8  {Class=2nd,                                                   \n",
      "    Sex=Female,                                                  \n",
      "    Age=Adult}  => {Survived=Yes} 0.036347115  0.8602151 2.662916\n",
      "9  {Class=2nd,                                                   \n",
      "    Sex=Male,                                                    \n",
      "    Age=Adult}  => {Survived=No}  0.069968196  0.9166667 1.354083\n",
      "10 {Class=2nd,                                                   \n",
      "    Sex=Male}   => {Survived=No}  0.069968196  0.8603352 1.270871\n",
      "11 {Class=3rd,                                                   \n",
      "    Sex=Male,                                                    \n",
      "    Age=Adult}  => {Survived=No}  0.175829169  0.8376623 1.237379\n",
      "12 {Class=3rd,                                                   \n",
      "    Sex=Male}   => {Survived=No}  0.191731031  0.8274510 1.222295\n"
     ]
    },
    {
     "data": {
      "image/png": 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   "source": [
    "# An extended example using titanic data\n",
    "# http://www.rdatamining.com/examples/association-rules \n",
    "load(\"ICA5-PartA/titanic2.raw.rdata\")\n",
    "rules <- apriori(titanic.raw,parameter = list(minlen=2, supp=0.005, conf=0.8), appearance = list(rhs=c(\"Survived=No\", \"Survived=Yes\"), default=\"lhs\"), control = list(verbose=F))\n",
    "rules.sorted <- sort(rules, by=\"lift\")\n",
    "plot(rules.sorted, method=\"grouped\")\n",
    "inspect(rules.sorted, n=10)"
   ]
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